Outcomes of haploidentical hematopoietic stem cell transplantation in low- and middle-income countries: A systematic review and meta-analysis.
Bibliographic record
Abstract
Abstract Introduction: Haploidentical hematopoietic cell transplantation (haplo-HCT) has emerged as a critical alternative for patients without matched donors, particularly in the management of hematologic malignancies and select non-malignant disorders. Advances in transplant techniques and supportive care have expanded its applicability. Given these developments, evaluating real-world outcomes is essential. This systematic review summarizes current evidence on indications, transplant strategies, and survival outcomes for haplo-HCT in low- and middle-income countries (LMICs). Methods: A comprehensive literature search was conducted on PubMed, ClinicalTrials.gov, Scopus, and Web of Science for studies published up to June 2025 using keywords and MeSH terms related to ‘haploidentical stem cell transplant’, ‘LMICs’, and ‘outcomes’. Eligible studies included those reporting post-haplo-HCT outcomes from LMICs reporting haplo-HCT in the adult population. Data on baseline demographics, clinical and transplant characteristics, survival rates, graft-versus-host disease (GVHD), complications, engraftment kinetics, immune recovery, and disease relapse were extracted. The risk of bias was assessed using the modified Newcastle-Ottawa scale and the ROB2 tool. Meta-analyses were conducted in RStudio (v5.4.1) using a random-effects model. Results This review included 24 studies comprising a total of 2,248 patients who underwent haplo-HCT. The ages of patients ranged from 0-79 years and follow yup duration range from 1-83 months. Of the 24 included studies, (n = 11, 45.8%) were conducted in North America, (n = 10, 41.7%) in Asia (including India, Iran, Thailand, Lebanon, and Nepal), (n = 2, 8.3%) in South America (Brazil), and (n = 1, 4.2%) in Africa (Egypt). A total of 1,214 (63.3%) male recipients were reported across 22 studies, comprising 1,915 patients in total. ECOG performance status was reported across four studies, with the majority of patients (n = 300/341, 88.0%) having ECOG 0–2 and the remaining (n = 41/341, 12.0%) having ECOG >2. Across the 15 studies that reported disease-specific data, acute leukemia was the most common indication (n = 825/1139, 72.4%), followed by aplastic anemia (n = 59/1139, 5.2%), lymphoma (n = 51/1139, 4.5%), and myelodysplastic syndromes (n = 26/1139, 2.3%). Non-malignant conditions such as immune deficiencies, inherited anemias, and metabolic diseases each accounted for <2% of cases. Peripheral blood stem cells (PBSC) were the predominant graft source, used in (n = 21, 88%) of studies, with most employing PBSC exclusively. Myeloablative conditioning (MAC) was used in 42% while reduced intensity/non-myeloablative (RIC/NMA) in 58% of, with RIC/NMA favoring Fludarabine-based regimens and MAC using full-dose Busulfan or high-dose TBI. Post-transplant cyclophosphamide was used in 99% of patients (n = 1018/1028) across 13 studies. Pooled overall survival (OS) at 1 and 2 years was 0.52 (95% CI: 0.41–0.63; I² = 87.5%, p < 0.0001) and 0.43 (95% CI: 0.36–0.53; I² = 83.1%, p < 0.0001), respectively. The use of post-transplant cyclophosphamide (PTCy) was not associated with differences in OS at either time point compared to non-PTCy regimens (p = 0.4694). Pooled disease-free survival (DFS) was 0.63 at 1 year (95% CI: 0.50–0.75; I² = 76.6%, p = 0.0007) and 0.41 at 3 years (95% CI: 0.35–0.48; I² = 66.1%, p = 0.0070). Relapse-free survival (RFS) was 0.49 at 1 year (95% CI: 0.32–0.67; I² = 88.7%, p < 0.0001) and 0.41 at 3 years (95% CI: 0.31–0.53; I² = 0.0%, p = 0.4641). Acute GVHD incidence across 16 studies within 90–100 days was 0.37 (95% CI: 0.32–0.42; I² = 70.7%, p< 0.0001). Relapse occurred in 32.9% of patients (n = 343/1041) across 16 studies. Conclusion: Haploidentical hematopoietic cell transplantation is widely utilized in low- and middle-income countries, primarily for the treatment of acute leukemia, using peripheral blood stem cell grafts and a preference for reduced-intensity or non-myeloablative conditioning regimens over myeloablative ones. Survival outcomes remain modest and heterogeneous, emphasizing the need for standardized protocols and further research to optimize results in resource-constrained settings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.027 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".