Evidence map›Paper›PMID 42045556›Full record

ArticleLeukemia2026

Development and validation of the predictive aplastic score system (PASS): a simplified tool to diagnose acquired aplastic anemia in adults.

Gabriel Aleixo, HeeJin Cheon, Jiayin Zheng, Stephanie Soewito, Jimmy Lee, Eléonore Kaphan, Neha Kalakuntla, Wei-Ying Jen, Sumasri Kotha, Alex Rupsee and 9 more

Abstract readValidation Study
In one paragraph

Article in Leukemia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Gabriel AleixoDivision of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
HeeJin CheonInternal Medicine Residency Program, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Jiayin ZhengDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-5559-6847
Stephanie SoewitoDepartment of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jimmy LeeDivision of Hematology and Oncology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA.ORCID http://orcid.org/0009-0003-0789-8941
Eléonore KaphanAPHP, Service D'hématologie Greffe, Hôpital Saint-Louis, Paris, France.
Neha KalakuntlaSchool of Medicine, UT Southwestern Medical Center, Dallas, TX, USA.ORCID http://orcid.org/0000-0001-7999-3081
Wei-Ying JenDepartment of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0002-9339-3362
Sumasri KothaPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Alex RupseePerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Mia DjulbegovicDivision of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Jairo A MatthewsDepartment of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Tapan M KadiaDepartment of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0002-9892-9832
Timothy S OlsonDivision of Oncology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Régis Peffault de LatourAPHP, Service D'hématologie Greffe, Hôpital Saint-Louis, Paris, France.
Flore Sicre De FontbruneAPHP, Service D'hématologie Greffe, Hôpital Saint-Louis, Paris, France.ORCID http://orcid.org/0000-0003-2000-1556
Taha BatDivision of Hematology and Oncology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA.
Courtney D DiNardoDepartment of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0001-9003-0390
Daria V BabushokDivision of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA. daria.babushok@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0002-1745-0353

Funding

University of Texas Southwestern - Stimulating Access to Research in Residency (UT-StARR) ProgramR38HL150214 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI Anand Kumar Rohatgi · 2021 to 2026
$1.8M
Impact of PIGA Loss on Hematopoietic Stem Cell FunctionR01HL174612 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Daria Babushok · 2025 to 2026
$1.5M
American Society of Hematology (ASH) ASH HIP Fellow AwardNHLBI NIH HHS R01 HL174612U.S. Department of Defense (United States Department of Defense) HT94252410445U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL174612U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R38HL150214
6 · The paper itself

Abstract

Acquired aplastic anemia (AA) can present similarly to inherited bone marrow failure syndromes (IBMFS) but treatment differs. AA diagnosis relies on excluding IBMFS; however, genetic testing is not always available, may delay care or be inconclusive. We developed the Predictive Aplastic Score System (PASS), a clinical tool using readily available data to distinguish AA from IBMFS in adults. The training cohort included 212 adults (162 AA, 50 IBMFS). Compared to IBMFS, AA patients were older and more likely to have acute-onset, severe cytopenias. Using logistic regression with LASSO, we selected seven clinical variables for model inclusion: severity, acuity, age, IBMFS red flags, AA-associated conditions, AA-associated somatic changes, and telomere lengths. The model achieved AUC of 0.990 (95% CI: 0.982-0.999), with 100% positive predictive value (PPV) for AA for scores ≥30. 86.8% of patients with scores <0 had IBMFS. We validated PASS in 716 patients from four external cohorts with AUC of 0.977 (95% CI: 0.968-0.987). Threshold analysis confirmed 100% PPV for scores ≥30, rapidly diagnosing 80% of AA cases. PASS is a practical and accurate clinical tool that can rapidly distinguish AA from IBMFS for most adult patients. To promote clinical adoption, we developed an open-access web calculator ( https://pennmedicine.shinyapps.io/passcalc/ ).

Indexed as

Anemia, AplasticAdultAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosis

Identifiers

PMID42045556
PMCPMC13323085

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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.