Evidence map›Paper›PMID 31221661›Full record

ArticleBlood advances2019

External validation and comparison of multiple prognostic scores in allogeneic hematopoietic stem cell transplantation.

Roni Shouval, Joshua A Fein, Aniela Shouval, Ivetta Danylesko, Noga Shem-Tov, Maya Zlotnik, Ronit Yerushalmi, Avichai Shimoni, Arnon Nagler

Abstract readComparative Study
In one paragraph

Article in Blood advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

70 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  9. Network-based prediction and real-world patient data observation identify doxycycline as a repurposable drug in Alzheimer's disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
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10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Roni ShouvalHematology and Bone Marrow Transplantation Division, Chaim Sheba Medical Center, Tel HaShomer, Israel.ORCID 0000-0001-9827-8032
Joshua A FeinHematology and Bone Marrow Transplantation Division, Chaim Sheba Medical Center, Tel HaShomer, Israel.ORCID 0000-0001-5441-1516
Aniela ShouvalHematology and Bone Marrow Transplantation Division, Chaim Sheba Medical Center, Tel HaShomer, Israel.
Ivetta DanyleskoHematology and Bone Marrow Transplantation Division, Chaim Sheba Medical Center, Tel HaShomer, Israel.ORCID 0000-0002-0627-5502
Noga Shem-TovHematology and Bone Marrow Transplantation Division, Chaim Sheba Medical Center, Tel HaShomer, Israel.
Maya ZlotnikHematology and Bone Marrow Transplantation Division, Chaim Sheba Medical Center, Tel HaShomer, Israel.
Ronit YerushalmiHematology and Bone Marrow Transplantation Division, Chaim Sheba Medical Center, Tel HaShomer, Israel.
Avichai ShimoniHematology and Bone Marrow Transplantation Division, Chaim Sheba Medical Center, Tel HaShomer, Israel.
Arnon NaglerHematology and Bone Marrow Transplantation Division, Chaim Sheba Medical Center, Tel HaShomer, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical decisions in allogeneic hematopoietic stem cell transplantation (allo-HSCT) are supported by the use of prognostic scores for outcome prediction. Scores vary in their features and in the composition of development cohorts. We sought to externally validate and compare the performance of 8 commonly applied scoring systems on a cohort of allo-HSCT recipients. Among 528 patients studied, acute myeloid leukemia was the leading transplant indication (44%) and 46% of patients had a matched sibling donor. Most models successfully grouped patients into higher and lower risk strata, supporting their use for risk classification. However, discrimination varied (2-year overall survival area under the receiver operating characteristic curve [AUC]: revised Pretransplantation Assessment of Mortality [rPAM], 0.64; PAM, 0.63; revised Disease Risk Index [rDRI], 0.62; Endothelial Activation and Stress Index [EASIx], 0.60; combined European Society for Blood and Marrow Transplantation [EBMT]/Hematopoietic Cell Transplantation-specific Comorbidity Index [HCT-CI], 0.58; EBMT, 0.58; Comorbidity-Age, 0.58; HCT-CI, 0.55); AUC ranges from 0.5 (random) to 1.0 (perfect prediction). rPAM and PAM, which had the greatest predictive capacity across all outcomes, are comprehensive models including patient, disease, and transplantation information. Interestingly, EASIx, a biomarker-driven model, had comparable performance for nonrelapse mortality (NRM; 2-year AUC, 0.65) but no predictive value for relapse (2-year AUC, 0.53). Overall, allo-HSCT prognostic systems may be useful for risk stratification, but individual prediction remains a challenge, as reflected by the scores' limited discriminative capacity.

Indexed as

AdultComorbidityFemaleHematopoietic Stem Cell TransplantationHumansLeukemia, Myeloid, AcuteMaleMiddle AgedMortalityMyelodysplastic SyndromesOutcome Assessment, Health CarePredictive Value of TestsPrognosisRecurrenceResearch DesignRetrospective Studies

Identifiers

PMID31221661
PMCPMC6595255

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.