1. Introduction
Postmenopausal bleeding (PMB) represents a significant clinical concern requiring prompt evaluation to exclude endometrial malignancy. Pooled evidence from over 40,000 patients indicates that endometrial cancer is identified in approximately 9% of women presenting with unexplained postmenopausal bleeding, underpinning current guideline recommendations for urgent investigation [
1,
2]. However, this widely cited estimate derives from heterogeneous populations and conflates women with truly unexplained bleeding with a clinically distinct subgroup: postmenopausal women using hormone replacement therapy (HRT) who develop unscheduled bleeding [
3]. Whether these two groups carry equivalent endometrial cancer risk, and therefore whether they warrant identical investigative urgency, remains an unanswered clinical question with direct implications for service design and patient counselling.
The relationship between HRT and endometrial safety has evolved significantly with our understanding of hormone therapy regimens. Contemporary HRT protocols, particularly continuous combined preparations, were developed specifically to minimise endometrial stimulation and reduce the risk of endometrial hyperplasia and cancer [
4,
5]. The clinical relevance of this question has grown substantially: HRT prescriptions in England approximately doubled between 2018 and 2023 following updated NICE guidance and increased public awareness of menopausal health, meaning that unscheduled bleeding in HRT users is an increasingly common presentation in rapid-access gynaecology services [
6].
The occurrence of endometrial pathology amongst HRT users presenting with unscheduled bleeding remains inadequately characterised. A prior UK single-centre study reported a cancer detection proportion of only 0.47% in HRT users with postmenopausal bleeding, but was restricted to women under 60 years of age and did not examine temporal relationships between HRT initiation and pathology detection, leaving older HRT users unaddressed [
7]. Multiple factors potentially influence endometrial cancer occurrence in this population, including HRT regimen, duration of use, and patient characteristics such as BMI [
5,
8]. The Million Women Study demonstrated that continuous combined regimens carry endometrial-protective effects whilst unopposed oestrogen increases risk [
9], yet how these regimen differences manifest in the symptomatic bleeding population has not been comprehensively examined.
Current clinical practice guidelines recommend investigation of all postmenopausal bleeding episodes, including those occurring during HRT use [
10,
11]. Currently, NICE NG12 classifies all postmenopausal bleeding as a two-week-wait referral without distinguishing HRT users from non-users [
11]. If malignancy occurrence is substantially lower in the HRT-user subgroup, a more nuanced risk-stratified approach may be worthy of future evaluation without compromising cancer detection [
12].
This exploratory observational cohort study aimed to describe and characterise the diagnostic yield of endometrial cancer and hyperplasia in a contemporary all-age NHS cohort of postmenopausal women presenting with unscheduled bleeding whilst on HRT, and to examine the temporal relationship between HRT initiation and pathology detection—an association not previously reported. Secondary objectives included characterising potential associations between endometrial pathology and HRT regimen type, endometrial thickness, and clinical risk factors, and applying dual FIGO 2009/2023 staging to all detected cancers. These analyses are hypothesis-generating in nature only.
2. Aim of Work
2.1. Primary Objective
To determine the diagnostic yield of endometrial cancer and hyperplasia amongst postmenopausal women presenting with unscheduled bleeding whilst on hormone replacement therapy.
2.2. Secondary Objectives
To explore the association between HRT regimen types (continuous combined vs. sequential) and endometrial pathology.
To evaluate the relationship between endometrial thickness on ultrasound and histopathological findings.
To examine the temporal relationship between HRT initiation and development of endometrial pathology.
2.3. Exploratory Analyses
Assessment of clinical risk factors (BMI, diabetes, family history) and their potential association with endometrial pathology.
Evaluation of diagnostic yield from different investigative approaches.
Examination of the temporal relationship between HRT initiation and timing of endometrial pathology detection.
3. Methods
3.1. Study Design and Setting
This retrospective observational study was conducted at Queen’s Medical Centre, Nottingham University Hospitals (NUH) NHS Trust, examining records of postmenopausal women who presented with unscheduled bleeding whilst on HRT between 1 September 2023 and 29 February 2024.
3.2. Study Population
All postmenopausal women (defined as absence of menstruation for ≥12 months) presenting with unscheduled bleeding whilst on any form of HRT during the study period were eligible. Exclusions: incomplete clinical or histopathological data, previous history of endometrial cancer, or use of tamoxifen or other selective oestrogen receptor modulators. Based on institutional historical data, 340–360 eligible cases were anticipated over the six-month period.
3.3. Data Collection
Data were extracted from electronic medical records using a standardised form. Parameters recorded: patient demographics (age, BMI, parity); HRT information (type and duration); clinical risk factors (family history of gynaecological cancers, diabetes mellitus); clinical investigations (endometrial thickness by transvaginal ultrasound, ultrasound setting, type of endometrial sampling, hysteroscopy findings); and pathological outcomes (histological diagnosis, grade of hyperplasia, endometrial cancer with FIGO staging). Missing data: BMI 11.9%, parity 13.2%, HRT duration 10.2%; analyses performed on available data without imputation.
3.4. Study Limitations Regarding Baseline Assessment
Baseline endometrial assessment prior to HRT initiation was not routinely performed in this cohort, consistent with current guideline-based clinical practice in the United Kingdom (NICE NG23 [
6]), which recommends investigation only in symptomatic women. Routine pre-HRT transvaginal ultrasound or endometrial sampling is not recommended for asymptomatic women commencing HRT in UK practice. Where selective pre-treatment investigations were performed in women with pre-existing bleeding symptoms or high-risk features, these were not consistently documented in the retrospective records and therefore could not be incorporated into the analysis. This is an important limitation: without pre-HRT baseline data, it is not possible to determine definitively whether the abnormalities detected after HRT initiation were newly developed or pre-existing. The temporal findings must therefore be interpreted as hypothesis-generating only.
3.5. Clinical Pathways and Diagnostic Procedures
All patients were evaluated according to the institutional protocol aligned with RCOG guidelines [
10]. Initial assessment included transvaginal ultrasound scanning (community or hospital), followed by endometrial sampling. Hysteroscopy was performed based on clinical indications, endometrial thickness measurements, and/or inconclusive sampling results.
3.6. Statistical Analysis
This study was descriptive and hypothesis-generating in design; not powered for definitive risk estimation, multivariable modelling, or causal inference. Continuous data presented as mean ± SD or median with IQR; categorical variables as frequencies and percentages. For exploratory analyses, Student’s t-test or Mann–Whitney U test were used for continuous variables and Chi-square or Fisher’s exact test for categorical variables. Multivariable regression analyses were not performed given limited events. Statistical analyses were performed using SPSS version 28.0 (IBM Corp., Armonk, NY, USA). p-values are presented descriptively and should not be interpreted inferentially.
4. Results
4.1. Study Population and Clinical Characteristics
During the six-month study period, 1399 postmenopausal women presented with postmenopausal bleeding at our centre. Of these, 343 women (24.5%) met inclusion criteria. The mean age was 56.2 ± 7.4 years; 28.6% were aged 60 years or older. Mean BMI was 29.2 ± 6.1 kg/m
2 (range 17.5–53.0); 28.6% were obese (BMI ≥ 30). The majority (77.8%) were parous. Diabetes mellitus was present in 5.0%; family history of gynaecological cancers in 12.8% (
Table 1).
4.2. HRT Usage Patterns
Continuous combined HRT was the most commonly used regimen (72.6%), followed by local vaginal oestrogen (9.9%) and sequential combined HRT (8.2%). Most patients had used HRT for less than 5 years (76.7%); 13.1% had used HRT for more than 5 years (
Table 2). Specific HRT formulations and dosages were not consistently documented in the retrospective records; regimen categories as presented represent the level of granularity available for analysis.
4.3. Investigation Pathways
All patients underwent transvaginal ultrasound as the initial investigation (84.3% community settings). Endometrial sampling performed in all patients, predominantly via Pipelle biopsy (86.9%). Hysteroscopy performed in 145 patients (42.3%) (
Table 3).
4.4. Primary Outcome: Endometrial Pathology
Histopathological analysis revealed nine cases (2.6%) with significant endometrial abnormalities: four cases of endometrial cancer (1.2%), four cases of endometrial hyperplasia without atypia (1.2%), and one case of complex atypical hyperplasia (0.3%). The remaining 334 cases (97.4%) showed normal or benign findings. These findings characterise the real-world diagnostic yield of current investigation pathways in this population.
Only five cases (1.5%) required surgical intervention (four endometrial cancers and one complex atypical hyperplasia), whilst the four cases of hyperplasia without atypia were successfully managed with medical therapy and HRT modification.
4.5. Characteristics of Patients with Abnormal Findings
The clinical characteristics of the nine patients with abnormal endometrial findings are detailed in
Table 4 and
Table 5. The mean age of patients with abnormal findings was 58.1 ± 10.5 years (range: 49–84 years). The mean BMI was higher in patients with abnormal findings compared to those with normal findings (33.1 ± 7.7 vs. 29.2 ± 6.1 kg/m
2; interpreted cautiously given the small number of events).
4.6. FIGO Staging and Treatment Outcomes
All four patients with endometrial cancer underwent total hysterectomy with bilateral salpingo-oophorectomy.
4.7. Under FIGO 2009 Classification
Three cases: Stage IA Grade 1 endometrioid adenocarcinoma, no LVSI. One case: Stage IA Grade 2 endometrioid adenocarcinoma, no LVSI. All cases classified as LOW RISK according to ESGO/ESTRO/ESP guidelines. Treatment: surgery only, no adjuvant therapy required.
4.8. Under FIGO 2023 Classification
All 4 cases: Stage IA2mNSMP (low-grade endometrioid adenocarcinoma with <50% myometrial invasion, no LVSI, NSMP molecular profile). Treatment: surgery only, no adjuvant therapy required.
4.9. Temporal Relationship Between HRT Initiation and Pathology
A previously undescribed temporal pattern was observed: eight of nine cases (88.9%) with abnormal findings occurred in women who had been using systemic HRT for ≤2 years. The only exception was a patient using local vaginal oestrogen for 25 years. Amongst the 45 women who had used HRT for >5 years, no endometrial pathology was identified, though this subgroup is too small to exclude pathology reliably. This observed pattern is hypothesis-generating and may suggest that endometrial abnormalities in early HRT users represent pre-existing rather than HRT-induced pathology, though the absence of baseline endometrial assessment data prevents any definitive interpretation.
4.10. Exploratory Analysis of Potential Risk Factors
Given that only nine abnormal cases and four cancers were identified, all subgroup analyses are strictly hypothesis-generating; no causal inference is possible. The mean endometrial thickness was higher in patients with abnormal findings compared to those with normal findings (10.6 ± 2.9 mm vs. 7.9 ± 4.3 mm,
p = 0.02). Sequential combined HRT users showed a higher proportion of abnormal findings compared to continuous combined HRT users (10.7% vs. 2.0%; unadjusted odds estimate 5.35, 95% CI: 1.35–21.20); this numerical trend should be regarded as hypothesis-generating only. Obesity (BMI ≥ 30) showed a higher proportion of abnormal findings (6.1% vs. 1.5%; unadjusted estimate 4.12, 95% CI: 1.05–16.13). Endometrial thickness > 10 mm showed a higher proportion (7.2% vs. 1.2%; unadjusted estimate 6.22, 95% CI: 1.59–24.32). All three estimates are statistically unstable due to small event numbers (
Table 6).
4.11. Diagnostic Performance of Ultrasound Thresholds
Given the importance of endometrial thickness in risk stratification, we examined the diagnostic performance of different ultrasound thresholds. Using the traditional 5 mm cut-off would have identified all abnormal cases (100% sensitivity) but with low specificity (23.4%), resulting in many unnecessary invasive procedures. The 10 mm threshold showed better balance with 66.7% sensitivity and 77.2% specificity. However, three cases of pathology had endometrial thickness < 10 mm, including two malignant cases (5.9 mm and 9.2 mm), highlighting important limitations of any single threshold approach in HRT users. Clinical judgement incorporating multiple risk factors remains essential.
5. Discussion
This study examined endometrial cancer diagnostic yield, disease characteristics, and temporal risk patterns in a contemporary all-age NHS cohort of postmenopausal women with HRT-related unscheduled bleeding. Two key observations merit further investigation: all four endometrial cancers were detected at early stage (FIGO Stage IA, NSMP molecular profile) requiring surgery alone with no adjuvant therapy; and a temporal clustering of pathology within the first two years of HRT initiation was observed. Both findings should be interpreted in the context of a small number of events and neither supports causal inference without prospective validation.
Our analysis identified nine cases (2.6%) with significant endometrial abnormalities, including four cases of endometrial cancer (1.2%). Only five cases (1.5%) required surgical intervention. This diagnostic yield is lower than the frequently cited 5–10% cancer proportion in women with unexplained postmenopausal bleeding [
13,
14], though this study is not sufficient to establish endometrial safety.
To our knowledge, this is among the first contemporary all-age NHS cohort studies to characterise endometrial cancer diagnostic yield specifically in HRT users with unscheduled bleeding, and the first to examine the temporal relationship between HRT initiation and pathology detection. Our 1.2% cancer detection proportion is higher than the 0.47% reported by Buchanan et al. in a UK rapid-access gynaecology clinic restricted to women under 60 years [
7], a difference likely explained by our inclusion of all age groups: 28.6% of our cohort were aged 60 years or older. The low surgical intervention rate (1.5%) and conservative management of nearly half the abnormal cases (4/9) with progestogen therapy is relevant to counselling women considering HRT [
15,
16].
All four endometrial cancers received identical treatment recommendations under both FIGO 2009 and FIGO 2023 classifications. Whilst Ferrari et al. reported that FIGO 2023 re-staging reduced adjuvant treatment needs by 16% in broader early-stage cohorts [
17], the additional discriminatory value of molecular classification appears limited in this specific context where all detected cancers were early-stage.
The predominant use of continuous combined HRT (72.6%) reflects current clinical practice. Our exploratory analysis suggested a potential association between sequential HRT use and endometrial pathology, consistent with larger studies showing better endometrial protection with continuous combined preparations [
18,
19]. This numerical trend is consistent with established evidence from the WHI and Cochrane reviews showing enhanced endometrial safety with continuous versus sequential preparations [
5,
20].
Notably, obesity was present in the majority of women with significant pathology (6/9, 66.7%), consistent with the established mechanistic link between adiposity and endometrial cancer risk through aromatase-mediated peripheral oestrogen production [
9,
21,
22]. This numerical observation—though based on small absolute numbers and without multivariable adjustment—raises the hypothesis that endogenous oestrogen excess driven by obesity may be more clinically important than HRT regimen in some patients, and supports the argument that pre-HRT endometrial risk stratification in obese women may deserve specific consideration in future prospective work.
5.1. Temporal Relationship and Pre-Existing Pathology Hypothesis
To our knowledge, this is the first study to describe a temporal clustering of endometrial pathology in relation to HRT initiation in an all-age cohort of women with unscheduled bleeding. The observation that 88.9% of abnormal cases occurred within two years of starting systemic HRT, with no cases observed amongst the 45 long-term users (>5 years), raises the possibility that early unscheduled bleeding may serve as a symptomatic alert that unmasks pre-existing rather than HRT-induced endometrial disease. However, this subgroup is underpowered to exclude pathology.
We acknowledge that baseline endometrial assessment data prior to HRT initiation were not available in our cohort, consistent with standard UK guideline-based practice (NICE NG23 [
6]), which recommends investigation only in symptomatic women. This prevents definitive confirmation of whether detected pathologies were pre-existing or HRT-induced. Several alternative explanations must be explicitly considered: (1) survivorship bias—women with pre-existing endometrial abnormalities may present with early bleeding and discontinue HRT; (2) detection bias—women presenting with early unscheduled bleeding may be more closely investigated; (3) reverse causation—subclinical endometrial pathology present before HRT initiation may itself contribute to early bleeding. These alternative explanations cannot be distinguished without prospective data including pre-HRT baseline endometrial assessment.
This finding contrasts with the Million Women Study, which suggested increasing endometrial cancer risk with longer duration of oestrogen-only HRT use [
9]. However, our cohort predominantly used combined HRT regimens (80.8%), which may partly explain this difference.
5.2. Ultrasound Threshold Performance and Limitations
Importantly, in symptomatic women presenting with postmenopausal bleeding—including those using HRT—current clinical guidelines (RCOG Green-top Guideline No. 67 [
10]; NICE NG12 [
11]) recommend histological evaluation irrespective of endometrial thickness. The threshold analysis presented here is therefore descriptive and exploratory, contextualising current investigation practice within this cohort, and should not be interpreted as support for a threshold-based approach to deferring investigation in symptomatic women.
Our data suggest that traditional ultrasound thresholds for postmenopausal bleeding may not be directly applicable to HRT users [
23,
24]. The mean endometrial thickness in abnormal cases (10.6 mm) was higher than in normal cases (7.9 mm). Using the standard 5 mm threshold would have captured all abnormal cases (100% sensitivity) but with only 23.4% specificity. The 10 mm threshold showed better balance (66.7% sensitivity, 77.2% specificity) but would have missed three abnormal cases, including two malignancies (5.9 mm and 9.2 mm). A comprehensive approach incorporating HRT type, duration, and BMI alongside endometrial thickness is preferable to reliance on any single threshold.
5.3. Hysteroscopy Rate and Diagnostic Yield
The 42.3% hysteroscopy rate reflects indication-based selection in line with RCOG guidance [
10]. The finding that 28.6% of our cohort were aged ≥60 years reflects contemporary individualised HRT prescribing guided by NICE and IMS frameworks, which no longer impose strict age limits [
6]. The relatively small proportion of long-term users (13.1%) likely reflects the lasting prescribing caution following the WHI study [
25].
5.4. Clinical Implications
The substantially lower cancer diagnostic yield (1.2%) compared to general postmenopausal bleeding populations (5–10%) raises the question of whether these two groups differ meaningfully in risk, though this requires prospective validation. These data have value in patient counselling: women who develop unscheduled bleeding whilst on HRT can be informed that malignancy was identified in only 1.2% of cases in this cohort, that 98.5% avoided surgical intervention, and that when cancer was detected it presented at its most treatable stage.
The intended clinical contributions of this study are three-fold. (1) Counselling utility: real-world diagnostic yield data applicable to patient counselling during shared decision-making about HRT. (2) Hypothesis generation: the temporal pattern generates a testable hypothesis about pre-existing versus HRT-induced pathology. (3) Future research design: candidate risk variables—sequential HRT use, obesity, and endometrial thickness > 10 mm—provide a basis for prospective study design. Asymptomatic HRT users are not routinely investigated in UK standard practice (NICE NG23 [
6]); this study characterises the diagnostic yield in the clinically relevant symptomatic subgroup and should not be interpreted as providing evidence regarding endometrial safety in asymptomatic users.
6. Strengths and Limitations
This study is drawn from a consecutive series of 1399 postmenopausal bleeding presentations at a tertiary NHS centre, of whom 343 (24.5%) were HRT users, providing a real-world prevalence figure directly applicable to NHS rapid-access gynaecology services. Inclusion of all age groups enhances generalisability.
However, important limitations must be acknowledged.
(1) Absence of baseline endometrial assessment (primary limitation): Baseline endometrial assessment prior to HRT initiation was not routinely performed, consistent with NICE NG23-based UK practice. This is the most significant interpretive limitation. Without pre-HRT data, it is impossible to determine whether detected pathology was pre-existing or HRT-induced. Selective pre-treatment investigations, where performed, were not consistently documented.
(2) Single-centre design: Findings may not generalise to populations with different demographics or clinical protocols.
(3) Limited statistical power: With only four cancer cases and nine abnormal findings, the study was not powered for risk factor analysis. Confidence intervals are wide and no causal inference is possible.
(4) Retrospective design: We lack baseline endometrial assessment before HRT initiation, preventing definitive conclusions about whether pathology was pre-existing or HRT-related.
(5) Short follow-up: Median follow-up of 6 months limits ability to detect delayed diagnoses or recurrences.
(6) Missing data: 10–13% for key variables.
(7) Absence of comparator group: The absence of a comparator group of non-HRT users with postmenopausal bleeding prevents any inference regarding relative cancer risk attributable to HRT use. These findings apply specifically to symptomatic women presenting for evaluation and should not be extrapolated to the broader HRT-using population.
(8) HRT exposure detail: Detailed information regarding specific HRT formulations, dosages, and adherence was not consistently available, precluding formulation-level risk analysis.
(9) Selection bias: Women presenting with bleeding may differ from all HRT users.
(10) Ultrasound threshold limitations: The occurrence of malignancy below proposed thresholds highlights the limitations of any single diagnostic cut-off.
Future Directions
A multicentre prospective cohort study incorporating mandatory pre-HRT baseline endometrial assessment (transvaginal ultrasound ± biopsy in selected cases) would constitute the most direct test of the temporal hypothesis generated by this dataset. Secondary objectives should include validation of the candidate risk variables—sequential HRT use, obesity (BMI ≥ 30), and endometrial thickness > 10 mm—in a cohort powered for multivariable logistic regression. A cost-effectiveness analysis of modified investigation pathways stratified by duration of HRT use is also warranted. Longer-term follow-up studies are required to ensure that conservatively managed hyperplasia without atypia does not progress.
7. Conclusions
In this exploratory observational cohort of 343 postmenopausal women with unscheduled bleeding on HRT, endometrial cancer was identified in 1.2% and significant endometrial pathology overall in 2.6% of cases—a diagnostic yield that appeared lower than rates reported for unexplained postmenopausal bleeding, though this comparison is indirect. Only 1.5% required surgical intervention, and all four cancers were early-stage (FIGO 2009 Stage IA; FIGO 2023 Stage IA2mNSMP), classified identically under both systems and requiring no adjuvant therapy. Unscheduled bleeding continues to warrant investigation in all cases.
The temporal pattern of pathology detection—with most abnormal cases occurring within two years of HRT initiation and none observed amongst long-term users (n = 45)—is a previously unreported observation that generates a testable hypothesis: early unscheduled bleeding may represent the unmasking of pre-existing endometrial abnormalities rather than de novo HRT-induced disease. This interpretation is one of several plausible explanations, including survivorship bias and selection bias, and cannot be confirmed without prospective data including pre-HRT baseline endometrial assessment.
Exploratory analyses identified numerical signals for sequential HRT use (unadjusted estimate 5.35), obesity (unadjusted estimate 4.12), and endometrial thickness > 10 mm (unadjusted estimate 6.22) as candidate variables for future risk stratification.
These findings are not intended to alter current investigation pathways. They may, however, provide useful data to inform patient counselling regarding the probability and characteristics of pathology detected, and generate hypotheses for future prospective research. Unscheduled bleeding continues to warrant investigation in all cases.
Prospective cohort studies incorporating pre-HRT baseline endometrial assessment are needed to test the temporal hypothesis, and multicentre studies are required to validate candidate risk variables before any modified investigation pathway could be considered.
Author Contributions
Conceptualization, M.A.M.A.; Methodology, M.A.M.A.; Formal Analysis, M.A.M.A. and A.M.; Investigation, A.M., A.O., N.H., N.T., O.O. and L.S.; Data Curation, M.A.M.A., A.M., A.O., N.H., N.T., O.O. and L.S.; Writing—Original Draft Preparation, M.A.M.A.; Writing—Review and Editing, M.A.M.A., H.S. and A.J.; Visualisation, M.A.M.A.; Supervision, A.J.; Project Administration, M.A.M.A. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding. The APC was funded by the authors.
Institutional Review Board Statement
Ethical review and approval were waived for this study as it was classified as a service evaluation by the Nottingham University Hospitals NHS Trust Clinical Audit Department (Reference: 24-318C), in accordance with Health Research Authority guidance on the governance of service evaluation projects. As this was a retrospective analysis of fully anonymised clinical data with no additional interventions and no patient identifiers, formal NHS Research Ethics Committee approval was not required. The study was conducted in accordance with the Declaration of Helsinki, and all data were anonymised throughout; patient confidentiality was maintained, and no patients were subjected to any intervention beyond standard clinical care.
Informed Consent Statement
Patient consent was waived due to the retrospective nature of the study and the use of fully anonymised clinical data, which presented no risk to participants and involved no additional interventions beyond standard clinical care. This waiver was granted in accordance with the service evaluation classification by the Nottingham University Hospitals NHS Trust Clinical Audit Department (Reference: 24-318C) and is consistent with Health Research Authority governance guidance for service evaluation projects.
Data Availability Statement
The datasets used and analysed during the current study are available from the corresponding author on reasonable request, subject to approval from the Nottingham University Hospitals NHS Trust Clinical Audit Department and in accordance with relevant data protection regulations. The data are not publicly available due to privacy and ethical restrictions.
Acknowledgments
The authors would like to thank the Clinical Audit Department at Nottingham University Hospitals NHS Trust for their support and guidance throughout this project. We also thank the gynaecology and histopathology departments for their assistance with data collection and verification.
Conflicts of Interest
The authors declare no conflicts of interest. The sponsors had no role in the design, execution, interpretation, or writing of the study.
Abbreviations
BMI: Body Mass Index. HRT: Hormone Replacement Therapy. PMB: Postmenopausal Bleeding. NUH: Nottingham University Hospitals. NHS: National Health Service. RCOG: Royal College of Obstetricians and Gynaecologists. ET: Endometrial Thickness. EC: Endometrial Cancer. EH: Endometrial Hyperplasia. CAH: Complex Atypical Hyperplasia. TH: Total Hysterectomy. BSO: Bilateral Salpingo-Oophorectomy. GA: General Anaesthesia. FIGO: International Federation of Gynecology and Obstetrics. RR: Risk Ratio. CI: Confidence Interval. LVSI: Lymphovascular Space Invasion. NSMP: Non-Specific Molecular Profile. IMS: International Menopause Society. NICE: National Institute for Health and Care Excellence.
References
- Clarke, M.A.; Long, B.J.; Del Mar Morillo, A.; Arbyn, M.; Bakkum-Gamez, J.N.; Wentzensen, N. Association of endometrial cancer risk with postmenopausal bleeding in women: A systematic review and meta-analysis. JAMA Intern. Med. 2018, 178, 1210–1222. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Smith-Bindman, R.; Kerlikowske, K.; Feldstein, V.A.; Subak, L.; Scheidler, J.; Segal, M.; Brand, R.; Grady, D. Endovaginal ultrasound to exclude endometrial cancer and other endometrial abnormalities. JAMA 1998, 280, 1510–1517. [Google Scholar] [CrossRef] [Scilit]
- Baber, R.J.; Panay, N.; Fenton, A.; IMS Writing Group. 2016 IMS recommendations on women’s midlife health and menopause hormone therapy. Climacteric 2016, 19, 109–150. [Google Scholar] [CrossRef] [Scilit]
- The Writing Group for the PEPI Trial. Effects of hormone replacement therapy on endometrial histology in postmenopausal women. JAMA 1996, 275, 370–375. [Google Scholar] [CrossRef] [Scilit]
- Kim, D.; Jordan, V.; Casciola, F.; Ferguson, M.; Humphries, A.; Rodriguez, M.B.; Wise, M.R. Hormone therapy in postmenopausal women and risk of endometrial hyperplasia or endometrial cancer. Cochrane Database Syst. Rev. 2025, 10, CD000402. [Google Scholar] [PubMed]
- National Institute for Health and Care Excellence. Menopause: Diagnosis and Management; NICE Guideline NG23; NICE: London, UK, 2023. [Google Scholar]
- Buchanan, C.; Robinson, M.; Macdonald, M.C. Endometrial cancer rate in Hormone replacement therapy users with postmenopausal bleeding: Retrospective cohort study. Post Reprod. Health 2022, 28, 143–148. [Google Scholar] [CrossRef] [Scilit]
- Brinton, L.A.; Felix, A.S. Menopausal hormone therapy and risk of endometrial cancer. J. Steroid Biochem. Mol. Biol. 2020, 196, 105491. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Million Women Study Collaborators. Endometrial cancer and hormone-replacement therapy in the Million Women Study. Lancet 2005, 365, 1543–1551. [CrossRef] [Scilit]
- Royal College of Obstetricians and Gynaecologists. Management of Endometrial Hyperplasia; Green-Top Guideline No. 67; RCOG/BSGE: London, UK, 2016. [Google Scholar]
- National Institute for Health and Care Excellence. Suspected Cancer: Recognition and Referral; NICE Guideline NG12; NICE: London, UK, 2023. [Google Scholar]
- Timmermans, A.; Opmeer, B.C.; Khan, K.S.; Bachmann, L.M.; Epstein, E.; Clark, T.J.; Gupta, J.K.; Bakour, S.H.; van den Bosch, T.; van Doorn, H.C.; et al. Endometrial thickness measurement for detecting endometrial cancer in women with postmenopausal bleeding: A systematic review and meta-analysis. Obstet. Gynecol. 2010, 116, 160–167. [Google Scholar]
- Bengtsen, M.B.; Veres, K.; Nørgaard, M. First-time postmenopausal bleeding as a clinical marker of long-term cancer risk: A Danish nationwide cohort study. Br. J. Cancer 2020, 122, 445–451. [Google Scholar] [CrossRef] [Scilit]
- van Hanegem, N.; Breijer, M.C.; Khan, K.S.; Clark, T.J.; Burger, M.P.; Mol, B.W.; Timmermans, A. Diagnostic evaluation of the endometrium in postmenopausal bleeding: An evidence-based approach. Maturitas 2011, 68, 155–164. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Cust, M.P.; Gangar, K.F.; Hillard, T.C.; Whitehead, M.I. A risk-benefit assessment of estrogen therapy in postmenopausal women. Drug Saf. 1990, 5, 345–358. [Google Scholar] [CrossRef] [Scilit]
- Archer, D.F.; Hendrix, S.L.; Gallagher, J.C.; Rymer, J.; Skouby, S.O.; Ferenczy, A.; Palacios, S.; Khine, H.; Simon, J.A. Endometrial effects of tibolone. J. Clin. Endocrinol. Metab. 2007, 92, 911–918. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Ferrari, F.; Gozzini, E.; Conforti, J.; Bizzarri, N.; Chiantera, V.; Raspagliesi, F.; Legge, F. Impact of the FIGO 2023 staging system on the adjuvant treatment of endometrial cancer: A comparative analysis with FIGO 2009. Cancers 2025, 17, 934. [Google Scholar] [CrossRef] [Scilit]
- Pickar, J.H.; Yeh, I.T.; Wheeler, J.E.; Cunnane, M.F.; Speroff, L. Endometrial effects of lower doses of conjugated equine estrogens and medroxyprogesterone acetate: Two-year substudy results. Fertil. Steril. 2003, 80, 1234–1240. [Google Scholar] [CrossRef] [Scilit]
- Woodruff, J.D.; Pickar, J.H. Incidence of endometrial hyperplasia in postmenopausal women taking conjugated estrogens (Premarin) with medroxyprogesterone acetate or conjugated estrogens alone. Am. J. Obstet. Gynecol. 1994, 170, 1213–1223. [Google Scholar] [CrossRef] [Scilit]
- Anderson, G.L.; Judd, H.L.; Kaunitz, A.M.; Barad, D.H.; Beresford, S.A.A.; Pettinger, M.; Liu, J.; McNeeley, S.G.; Lopez, A.M. Effects of estrogen plus progestin on gynecologic cancers and associated diagnostic procedures: The Women’s Health Initiative randomised trial. JAMA 2003, 290, 1739–1748. [Google Scholar] [CrossRef] [Scilit]
- Key, T.J.; Pike, M.C. The dose-effect relationship between ‘unopposed’ oestrogens and endometrial mitotic rate: Its central role in explaining and predicting endometrial cancer risk. Br. J. Cancer 1988, 57, 205–212. [Google Scholar] [CrossRef] [Scilit]
- Brinton, L.A.; Trabert, B.; Anderson, G.L.; Falk, R.T.; Wentzensen, N.; Xu, X.; Guillemette, C.; Stanczyk, F.Z.; Cauley, J.A.; LaCroix, A.Z. Serum estrogens and estrogen metabolites and endometrial cancer risk amongst postmenopausal women. Cancer Epidemiol. Biomark. Prev. 2016, 25, 1081–1089. [Google Scholar] [CrossRef] [Scilit]
- Smith-Bindman, R.; Weiss, E.; Feldstein, V. How thick is too thick? When endometrial thickness should prompt biopsy in postmenopausal women without vaginal bleeding. Ultrasound Obstet. Gynecol. 2004, 24, 558–563. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Wolfman, W.; Leyland, N.; Heywood, M.; Singh, S.S.; Rittenberg, D.A.; Soucy, R.; Allaire, C.; Awadalla, A.; Best, C.; Dunn, S.; et al. Asymptomatic endometrial thickening. J. Obstet. Gynaecol. Can. 2010, 32, 990–999. [Google Scholar] [CrossRef] [Scilit]
- Rossouw, J.E.; Anderson, G.L.; Prentice, R.L.; LaCroix, A.Z.; Kooperberg, C.; Stefanick, M.L.; Jackson, R.D.; Beresford, S.A.A.; Howard, B.V.; Johnson, K.C.; et al. Risks and benefits of estrogen plus progestin in healthy postmenopausal women: Principal results from the Women’s Health Initiative randomised controlled trial. JAMA 2002, 288, 321–333. [Google Scholar]
Table 1.
Demographic and clinical characteristics of study population (N = 343).
Table 1.
Demographic and clinical characteristics of study population (N = 343).
| Characteristic | Value |
|---|
| Age (years) | |
| Mean ± SD | 56.2 ± 7.4 |
| <50 years | 47 (13.7%) |
| 50–59 years | 198 (57.7%) |
| 60–69 years | 76 (22.2%) |
| ≥70 years | 22 (6.4%) |
| BMI (kg/m2) | |
| Mean ± SD | 29.2 ± 6.1 |
| Range | 17.5–53.0 |
| Underweight (<18.5) | 3 (0.9%) |
| Normal (18.5–24.9) | 89 (25.9%) |
| Overweight (25–29.9) | 112 (32.7%) |
| Obese (≥30) | 98 (28.6%) |
| Not documented | 41 (11.9%) |
| Parity | |
| Nulliparous | 31 (9.0%) |
| Parous | 267 (77.8%) |
| Not documented | 45 (13.2%) |
| Risk Factors | |
| No risk factors | 258 (75.2%) |
| Family history | 44 (12.8%) |
| Diabetes mellitus | 17 (5.0%) |
| Other risks | 24 (7.0%) |
Table 2.
HRT types and usage patterns.
Table 2.
HRT types and usage patterns.
| HRT Characteristic | n (%) |
|---|
| Continuous combined | 249 (72.6%) |
| Sequential combined | 28 (8.2%) |
| Local vaginal oestrogen | 34 (9.9%) |
| Oestrogen-only | 12 (3.5%) |
| Other (e.g., tibolone/combined types) | 20 (5.8%) |
| Duration <1 year | 89 (25.9%) |
| Duration 1–2 years | 98 (28.6%) |
| Duration 2–5 years | 76 (22.2%) |
| Duration >5 years | 45 (13.1%) |
| Not documented | 35 (10.2%) |
Table 3.
Investigation Settings and Procedures.
Table 3.
Investigation Settings and Procedures.
| Investigation Characteristic | n (%) |
|---|
| Community ultrasound | 289 (84.3%) |
| Hospital ultrasound | 54 (15.7%) |
| Pipelle biopsy | 298 (86.9%) |
| Other endometrial biopsy | 45 (13.1%) |
| Hysteroscopy not performed | 198 (57.7%) |
| Outpatient hysteroscopy | 112 (32.7%) |
| Under general anaesthesia (GA) | 33 (9.6%) |
Table 4.
Summary characteristics of patients with abnormal findings.
Table 4.
Summary characteristics of patients with abnormal findings.
| Characteristic | Cancer (n = 4) | Hyperplasia (n = 5) | p-Value * |
|---|
| Age (years) | | | |
| Mean ± SD | 61.8 ± 15.6 | 55.2 ± 6.8 | 0.38 |
| Range | 49–84 | 49–65 | |
| BMI (kg/m2) | | | |
| Mean ± SD | 32.3 ± 13.1 | 33.8 ± 4.2 | 0.81 |
| Range | 20.3–46.0 | 28.0–40.0 | |
| ET (mm) | | | |
| Mean ± SD | 10.6 ± 4.6 | 10.7 ± 1.7 | 0.96 |
| Range | 5.9–15.5 | 8.2–12.0 | |
Table 5.
Detailed characteristics of cases with endometrial abnormalities.
Table 5.
Detailed characteristics of cases with endometrial abnormalities.
| Case | Age | BMI | Diagnosis | HRT Type | HRT Duration (Years) | ET (mm) | Other Risk Factors | Treatment | FIGO 2009 | FIGO 2023 |
|---|
| 1 | 49 | 20.3 | EC (G1) | Sequential | 2 | 5.9 | None | TH + BSO | IA | IA2mNSMP |
| 2 | 57 | 46.0 | EC (G2) | Continuous | 2 | 9.2 | Diabetes, Family Hx | TH + BSO + SLN Biopsy | IA | IA2mNSMP |
| 3 | 84 | 28.8 | EC (G1) | Local vaginal | 25 | 15.5 | None | TH + BSO | IA | IA2mNSMP |
| 4 | 57 | 34.1 | EC (G1) | Continuous | 2 | 11.8 | Obesity | TH + BSO | IA | IA2mNSMP |
| 5 | 57 | 40.0 | CAH | Sequential | 1 | 8.2 | Obesity | TH + BSO | N/A | N/A |
| 6 | 49 | 28.0 | EH w/o atypia | Continuous | 2 | 10.3 | None | Progestogen + FU | N/A | N/A |
| 7 | 65 | 34.0 | EH w/o atypia | Continuous | 2 | 12.0 | Obesity, Diabetes | Change to different continuous combined HRT+ FU | N/A | N/A |
| 8 | 54 | 31.5 | EH w/o atypia | Sequential | 2 | 10.8 | Obesity | Change from sequential to continuous combined HRT+ FU | N/A | N/A |
| 9 | 51 | 33.3 | EH w/o atypia | Continuous | 1 | 11.5 | Obesity | Change to different continuous combined HRT+ FU | N/A | N/A |
Table 6.
Exploratory analysis of potential risk factors for abnormal endometrial findings.
Table 6.
Exploratory analysis of potential risk factors for abnormal endometrial findings.
| Risk Factor | Normal Findings | Abnormal Findings | Unadjusted Estimate (95% CI) |
|---|
| HRT Type | | | |
| Continuous combined (n = 249) | 244 (98.0%) | 5 (2.0%) | Reference |
| Sequential combined (n = 28) | 25 (89.3%) | 3 (10.7%) | 5.35 (1.35–21.20) |
| Other (n = 66) | 65 (98.5%) | 1 (1.5%) | 0.75 (0.09–6.30) |
| BMI Category | | | |
| Non-obese (n = 204) | 201 (98.5%) | 3 (1.5%) | Reference |
| Obese (BMI ≥ 30) (n = 98) | 92 (93.9%) | 6 (6.1%) | 4.12 (1.05–16.13) |
| Endometrial Thickness | | | |
| ≤10 mm (n = 260) | 257 (98.8%) | 3 (1.2%) | Reference |
| >10 mm (n = 83) | 77 (92.8%) | 6 (7.2%) | 6.22 (1.59–24.32) |
| Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |