Timing and Outcomes of Cranioplasty After Decompressive Craniectomy: A Systematic Review of Neurological Recovery, Complications, and Predictive Factors
Abstract
1. Introduction
2. Materials and Methods
2.1. Research Aim and Search Strategy
- P ex (Population): Patients aged 18 and above with large cranial defects following decompressive craniectomy.
- I (Intervention): Patients who underwent early and late cranioplasty after decompressive craniectomy.
- C (Comparison): Compare postoperative complications and other findings after CP between patients in the early and late groups.
- O (Outcomes): Success rate, complication rates, patient survival, neurological function recovery, recovery time.
2.2. Selection Criteria
2.3. Data Extraction and Management
2.4. Risk of Bias Assessment
2.5. Structure Overview
3. Results
3.1. Demographic and Clinical Data of Radiology
3.2. Indications of Cranioplasty Timing
3.3. Demographic and Clinical Data of Patients Using Neurological Assessment Tools
3.3.1. GOSE as a Neurological Assessment Tool
3.3.2. GCS as a Neurological Assessment Tool
3.3.3. GOS as a Neurological Assessment Tool
3.3.4. FIM as a Neurological Assessment Tool
3.3.5. BI as a Neurological Assessment Tool
3.3.6. Combined Neurological Assessment Tools
NIHSS, MMSE, NCSE, FIM, GCS, Stress as Neurological Assessment Tools (Six Tools)
KPS, ZPS, Quality of Life, Psychological Function as Neurological Assessment Tools (Four Tools)
MMSE, PGIBBD, GOS as Neurological Assessment Tools (Three Tools)
GOS, mRS as Neurological Assessment Tools (Two Tools)
3.4. Complications as an Assessment Tool
3.4.1. Infection
3.4.2. Hydrocephalus
3.4.3. Hematoma
3.4.4. Seizure
3.4.5. Bone Graft Resorption (BGR)
3.4.6. Hygroma
3.4.7. Other Complications
4. Discussion
4.1. Neurological Recovery
4.2. Complication Rates
4.3. Imaging and Physiological Insights
4.4. Patient Selection and Timing Considerations
4.5. Limitations
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Data Availability Statement
Conflicts of Interest
References
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| Source | Equation | Records Identified (n) | Filters |
|---|---|---|---|
| PubMed | * | 1277 | 2017–2025 Language—English |
| OVID | * | 1210 | 2017–2025 Language—English |
| Web of Science | * | 1163 | 2017–2025 Language—English |
| Author | Timing | Cause | Number of Patients | Gender | Mean Age | Assessment Tool | Post-Op Score | Comorbidities | Follow-Up | ||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Early | Late | Total | |||||||||
| Ozoner et al. 2020 [13] | 2 Months | TBI | 67 | 59 | 126 | 84 M, 42 F | 53 51 | GOSE | Early (1–4): 22 (5–8): 45 Late:(1–4): 22 (5–8): 37 | Hypertension Diabetes | 12 M |
| Vreeburg et al. 2024 [12] | 3 Months | TBI | 73 | 100 | 173 | Early: 70 M 3 F Late: 72 M 28 F | 44 | GOSE | 4 (2–6) | Mild and severe systemic illness | 12 M |
| Authors | Etiology | Timing | Patients | Gender | Mean Age | Assessment Tool | Comorbidities | Pre-Op Score | Post-Op Score | Secondary Outcome (Midline Shift) |
|---|---|---|---|---|---|---|---|---|---|---|
| Berikol et al. 2023 [11] | TBI, fractures, tumors | (<1 M) | 36 | 25 M 11 F | 34.91 ± 20.62 | GCS | Hypertension, Diabetes, CAD | 4.61 ± 0.64 | 4.69 ± 0.52 | 0.30 ± 0.66 |
| (1–3 M) | 32 | 19 M 13 F | 47.12 ± 18.28 | Hypertension, Diabetes, CAD, CVH | 4.03 ± 0.89 | 4.50 ± 0.62 | 1.18 ± 1.46 | |||
| (3 M–6 M) | 29 | 24 M 5 F | 49.79 ± 16.10 | Hypertension, Diabetes, CAD | 4.13 ± 0.83 | 4.55 ± 0.63 | 1.65 ± 1.73 | |||
| (6 M–360 days) | 29 | 16 M 13 F | 42.37 ± 15.67 | Hypertension, Diabetes, CVH | 4.13 ± 0.74 | 4.58 ± 0.50 | 1.06 ± 2.05 | |||
| (>360 days) | 12 | 10 M 2 F | 43.33 ± 16.80 | Hypertension, Diabetes, CVH | 4.08 ± 0.90 | 4.41 ± 0.66 | 1.83 ± 2.75 |
| Authors | Etiology | Timing | Patients | Gender | Mean Age | Assessment Tool | Pre-Op Score | Post-Op Score | Mean (SD) Difference in FIM Score | Comorbidities | Follow-Up |
|---|---|---|---|---|---|---|---|---|---|---|---|
| (Tomar et al., 2024) [20] | TBI (21, 16 M 5 F) Stroke (10, 7 M 3 F) | <3 M | 16 | 9 M 7 F | 49.50 ± 10.88 | FIM | 70.06 ± 18.35 | 77.37 ± 18.09 | 7.31 (5.82) | - | 1 M |
| >3 M | 15 | 7 M 8 F | 53.13 ± 11.5 | 68.40 ± 20.24 | 73.07 ± 23.33 | 4.66 (5.62) | - | 1 M |
| Authors | Etiology | Timing | Patients | Sex M/F | Mean Age (Range) | Assessment Tool | Comorbidities | Pre-Op Score | Post-Op Score | Follow-Up |
|---|---|---|---|---|---|---|---|---|---|---|
| Zhao et al., 2023 [24] | TBI | 3–6 Months | 58 | 53 M 5 F | 38.81 ± 12.57 (4–65) | BI | Smoking 7, drinking 1, diabetes 6 | 85.77 ± 11.61 | 95.34 ± 9.02 | 12 M |
| 6–12 Months | 42 | 35 M 7 F | 35.38 ± 12.20 (4–65) | BI | Smoking 7 drinking 1 diabetes 6 | 82.74 ± 22.82 | 88.93 ± 22.86 | 12 M |
| Author | Etiology | Timing Interval | Number of Patients | Sex M/F | Age | Assessment Tool | GCS | Pre-/Post-Op NIHSS | Post-Op FIM | MMSE | NCSE | IL-6 Cortisol TNF |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Li et al., 2024 [29] | TBI | <3 Months | 45 | 26 M 19 F | 27–65 | GCS, NIHS, FIM, MMS, NCSE, stress levels | 13–15: 25 9–12: 18 <9: 2 | 22.07 ± 4.24 → 11.18 ± 2.35 | 35.26 ± 4.94 → 59.26 ± 6.12 | 18.13 ± 3.94 → 25.02 ± 4.61 | 52.06 ± 3.85 → 103.52 ± 10.63 | 4.13 IL6 diff 5.06 cortisol diff 0.91 TNF-α |
| 3–6 Months | 45 | 24 M 21 F | 29–64 | 13–15: 17 9–12: 18 <9: 9 | 21.49 ± 5.76 → 14.74 ± 3.61 | 36.15 ± 4.56 → 47.86 ± 5.27 | 18.69 ± 4.17 → 22.74 ± 5.13 | 51.97 ± 4.23 → 88.76 ± 7.39 | 7.79 IL6 diff 17.3 cortisol diff 2.4 TNF-α |
| Authors | Cause | Timing Interval | Number of Patients | Sex M/F | Age | Assessment Tool | Post-Op KPS | Post-Op ZPS | Psychological Function | Quality of Life |
|---|---|---|---|---|---|---|---|---|---|---|
| Jiang et al., 2020 [16] | TBI | 4–6 weeks | 28 | 17 M 11 F | <40: 11 >40: 17 | KPS ZPS Psychological function QOL | ≤50: 3 >50: 17 | Poor: 3 Good: 17 | Poor: 5 Good: 23 | Poor: 5 Good: 23 |
| 3–6 months | 32 | 26 M 6 F | <40: 7 >40: 25 | ≤50: 17 >50: 15 | Poor: 17 Good: 15 | Poor: 19 Good: 13 | Poor: 14 Good: 18 |
| Authors | Cause | Timing Interval | Patients | Mean Age | Assessment Tool | Pre-Op Score (Mean ± SD) | Post-Op Score (Mean ± SD) | Follow-Up |
|---|---|---|---|---|---|---|---|---|
| (Sharma et al., 2024) [17] | Trauma, ischemic infarct, cortical sinus venous thrombosis, intracranial hemorrhage | Early CP (<3 Months) | 19 | 40.63 (24–58) | MMSE PGIBBD | 26.11 ± 2.75 2.21 ± 0.78 | 28.21 ± 1.78 1.74 ± 0.61 | 3 Months |
| Late CP (>3 Months) | 19 | 38.53 (21–67) | 23.74 ± 7.22 2.58 ± 0.90 | 27.00 ± 2.71 1.83 ± 0.67 | 3 Months | |||
| Early CP | 30 | 40.63 | GOS | 3.10 ± 0.031 | 4.23 ± 0.63 | 3 Months | ||
| Late CP | 30 | 38.53 | 3.10 ± 0.31 | 4.20 ± 0.81 | 3 Months |
| Authors | Etiology | Timing Interval | Patients | Gender | Mean Age | Assessment Tool | GOS | mRS | Comorbidities | Follow-Up |
|---|---|---|---|---|---|---|---|---|---|---|
| (Aloraidi et al., 2021) [27] | TBI: 26 Infarction: 15 | <3 M | 41 | (86 from both M) 15 F | 32 | GOS mRS | 4 ± 1 → 4.1 ± 1 | 2.2 ± 1.78 → 2.2 ± 1.7 | 17 From both groups | 315.6 Days |
| TBI: 38 Infarction: 22 | >3 M | 60 | 31 | GOS mRS | 4 ± 1 → 4 ± 1 | 2.2 ± 1.78 → 2.3 ± 1.7 | 582.6 Days |
| Authors | Timing Cutoff Between Early and Late CP | DC Etiology | Age | Gender | Comorbidities | Total | Complications | |
|---|---|---|---|---|---|---|---|---|
| Early | Late | |||||||
| Tomar et al. 2024 [20] | 3 Months | TBI Stroke | 29–66 A: 49.50 (10.88) B: 53.13 (11.50) | 21 M 10 F | - | 16 | 15 | Infections, extradural hematoma, Hydrocephalus, Brone Graft Resorption |
| Sharma et al. 2024 [17] | 3 Months | TBI ischemic infarct cortical sinus venous thrombosis intracranial hemorrhage | A: 24–58 B: 21–67 A: 40.63 B: 38.53 | - | - | 30 | 30 | NONE |
| Aloraidi et al. 2021 [27] | 3 Months | TBI Malignant Cerebral Infarction | (31.4 ± 13.9) | 86 M 15 F | - | 41 | 60 | Hydrocephalus, Hygroma, Seizure Sunken Flap Syndrome, Mortality |
| Vyas et al. 2021 [21] | 2 M | TBI | 20–67 Mean: 43.7 for both | A: 38 M 6 F B: 42 M 4 F | - | 44 | 46 | Infections, Hematoma, Sunken brain, Resorption |
| Berikol et al. 2023 [11] | 3 Months | trauma, fractures, tumors | A: 34.91 ± 20.62 B: 47.12 ± 18.28 C: 49.79 ± 16.1 D: 42.37 ± 15.67 E: 43.33 ± 16.8 | A: 25 M 11 F B: 19 M 13 F C: 24 M 5 F D: 16 M 13 F E: 10 M 2 F | Hypertension, diabetes mellitus, cardiovascular disease | group 1(>1 M): 36 group 2 (1–3 M): 32 | group 3, (3–6 M): 29 group 4 (6–12 M): 29 group 5 (>12 M): 12 | infections, hematoma, seizure |
| Vreeburg et al. 2024 [12] | 3 Months | TBI | 24–58 Mean: 44 for both | A: 70 M 3 F B: 72 M 28 F | mild systemic illness A: 19 B: 28 severe systemic illness A: 10 B: 9 | 73 | 100 | Hydrocephalus, Seizures |
| Safi et al. 2022 [28] | 3 Months | TBI nontraum. (vasuclar/tumors/other) | 41.4 ± 13.5 | 122 M 10 F | Diabetes mellitus, hypertension | 77 | 55 | (infections, extradural hematoma, hydrocephalus, subgaleal collections, intraparenchymal hemorrhage, wound necrosis) |
| Bjornson et al. 2019 [22] | 3 Months | -TBI -Ischaemic stroke Intracerebral hemorrhage/SAH -Cerebral abscess | 16–70 Mean: 52 | 63 M 27 F | - | 24 | 66 | Infection, hydrocephalus, pneumocephalus, cosmetic issues, hematoma |
| Tora et al. 2021 [23] | 3 Months | TBI | 43.7 years | A: 54 M 27 F B: 132 M 65 F | Obesity, diabetes, hypertension, smoking | 51 | 91 | infection, dehiscence, reoperation, Hydrocephalus, resorption, EAC |
| Zhao et al. 2023 [24] | 6 Months | TBI (aSDH, EDH, combined SDH/EDH) | 37 years | A: 53 M 5 F B: 35 M 7 F | Smoking drinking diabetes | 58 | 42 | EDH or SDH, wound healing complications, hydrocephalus, seizure |
| Ozoner et al. 2020 [13] | 2 Months | TBI | 53.1 ± 19.4 | 84 M 42 F | Hypertension, diabetes mellitus | 67 | 59 | Hydrocephalus |
| Lee et al. 2017 [19] | 2 Months | Elevated ICP, TBI, ICH, SAH, infarct | 52.6 ± 18.6 | 52 M 38 F | Hypertension, diabetes mellitus, liver disease, alcohol, smoking, antiplatelet use | 23 | 50 | Hemorrhage, wound infections, CSF leak, hygroma: 6 hydrocephalus |
| Rashidi et al. 2019 [25] | 3 Months | TBI, stroke, ICH, SAH, tumors, infection | 2–91 years 51.2 ± 17.0 | 195 M 134 F | Diabetes mellitus | 70 | 259 | infections: Group A: 3 Group B: 21 |
| Kim et al. 2019 [15] | 45 days | Aneurysmal SAH Brain tumor Cerebral infarction ICH TBI | - | 80 M 46 F | - | 51 | 87 | Bone flap resorption, surgical site infection |
| Prasad et al. 2020 [26] | 3 Months | TBI, ischemic stroke, CVT, hemorrhage | 17–68 Mean: 38.3 | 67 M 26 F | - | 78 | 15 | Infection, Wound dehiscence, Seizures, Hematoma, Hydrocephalus, Death |
| Jiang et al. 2020 [16] | Early: 4–6 weeks Late: 3–6 months | TBI | 17–65 | A: 17 M 11 F B: 26 M 6 F | 28 | 32 | Infection, Fluid accumulation, Necrosis, Hematoma | |
| Li et al. 2024 [29] | 3 Months | TBI | 24–65 A: 42.62 ± 2.64 B: 33.25 ± 3.06 | A: 26 M 19 F B: 24 M 21 F | - | 45 | 45 | Infection, Hemorrhage, Necrosis, Effusion, Chewing discomfort |
| Chibbaro et al. 2025 [14] | 1–3 Months | TBI | 49 years (18–62) | 2284 M 1723 F | - | Ultra early (<30 days): 352 Early (1–3 months): 1627 | 2028 | infections, post-traumatic hydrocephalus, external hydrocephalus, seizures, epidural hematoma, subdural hematoma, subdural hygroma |
| Kim et al. 2025 [18] | 3 Months | TBI | 53.9 ± 17.4 years | - | - | 31 | 24 | Mortality not necessarily associated with the operation |
| Sioutas et al., 2025 [10] | 3 Months | TBI | - | - | Diabetes mellitus, obesity, chronic kidney disease, asthma, heart disease | 680 | 680 | infection, ICH, SDH, hydrocephalus, meningitis/encephalitis/myelitis/encephalomyelitis, CSF leak, repeat craniectomy/craniotomy, seizures, EDH, wound disruption, abscess and granuloma, removal or replacement of bone flap/prosthetic plate, dependence on wheelchair/care provider, mortality |
| Yan et al., 2025 [30] | 3 Months | Malignant Cerebral Infarction (MCI) | 57.3 ± 6.8 years | 43 M 43 F | - | 37 | 49 | ICH, infection, subcutaneous effusion, wound dehiscence, scalp necrosis, hydrocephalus, dural tear, seizure |
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Gati, A.; Viola, Á.; Al-Khafaji, Y.Q.; Aslan, S.; Al-Khafaji, M.Q.; Taha, Y.A.; Al-Khafaji, M.Q.; Koudigkeli, G.; Al-Khafaji, S.Q.; Al-Smadi, M.W. Timing and Outcomes of Cranioplasty After Decompressive Craniectomy: A Systematic Review of Neurological Recovery, Complications, and Predictive Factors. J. Clin. Med. 2026, 15, 2813. https://doi.org/10.3390/jcm15082813
Gati A, Viola Á, Al-Khafaji YQ, Aslan S, Al-Khafaji MQ, Taha YA, Al-Khafaji MQ, Koudigkeli G, Al-Khafaji SQ, Al-Smadi MW. Timing and Outcomes of Cranioplasty After Decompressive Craniectomy: A Systematic Review of Neurological Recovery, Complications, and Predictive Factors. Journal of Clinical Medicine. 2026; 15(8):2813. https://doi.org/10.3390/jcm15082813
Chicago/Turabian StyleGati, András, Árpád Viola, Yousif Qais Al-Khafaji, Siran Aslan, Mustafa Qais Al-Khafaji, Yousif Asaad Taha, Murtadha Qais Al-Khafaji, Georgia Koudigkeli, Shahad Qais Al-Khafaji, and Mohammad Walid Al-Smadi. 2026. "Timing and Outcomes of Cranioplasty After Decompressive Craniectomy: A Systematic Review of Neurological Recovery, Complications, and Predictive Factors" Journal of Clinical Medicine 15, no. 8: 2813. https://doi.org/10.3390/jcm15082813
APA StyleGati, A., Viola, Á., Al-Khafaji, Y. Q., Aslan, S., Al-Khafaji, M. Q., Taha, Y. A., Al-Khafaji, M. Q., Koudigkeli, G., Al-Khafaji, S. Q., & Al-Smadi, M. W. (2026). Timing and Outcomes of Cranioplasty After Decompressive Craniectomy: A Systematic Review of Neurological Recovery, Complications, and Predictive Factors. Journal of Clinical Medicine, 15(8), 2813. https://doi.org/10.3390/jcm15082813

