Evidence map›Paper›PMID 42164818›Full record

ArticleBlood vessels, thrombosis & hemostasis2026

A multicenter analysis revisiting the PLASMIC score: performance limitations and the impact of age, MCV, and LDH.

Rishabh Singh, Ashley Khouri, Ho Jun Lee, Sanjana Kalvehalli Kashinath, Mukul Singal, Cecilia Peterson, Simon Bakhos Bechara, Aniket-Vijay Rao, Carley Mitchell, Chong Zhang and 4 more

Abstract read
In one paragraph

Article in Blood vessels, thrombosis & hemostasis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Revisiting the PLASMIC score and the future of ADAMTS13 prediction.Blood vessels, thrombosis & hemostasis · 2026
    Article
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

14 authors.

Rishabh SinghDivision of Hematology and Oncology, Indiana University, Indianapolis, IN.
Ashley KhouriUniversity of Utah School of Medicine, Salt Lake City, UT.
Ho Jun LeeUniversity Hospitals, Case Western Reserve University, Cleveland, OH.
Sanjana Kalvehalli KashinathFox Chase Cancer Center, Temple University, Philadelphia, PA.
Mukul SingalIndiana Hemophilia & Thrombosis Center, Indianapolis, IN.
Cecilia PetersonUniversity of Utah School of Medicine, Salt Lake City, UT.
Simon Bakhos BecharaUniversity of Illinois College of Medicine, Peoria, IL.
Aniket-Vijay RaoRochester Regional Health, Rochester, NY.
Carley MitchellCase Western Reserve University/University Hospitals Cleveland Medical Center, Cleveland, OH.
Chong ZhangDepartment of Epidemiology, University of Utah, Salt Lake City, UT.
Peter KouidesRochester Regional Health, Rochester, NY.
Lalitha NayakDivision of Hematology and Oncology, Indiana University, Indianapolis, IN.
Ming Y LimUniversity of Utah School of Medicine, Salt Lake City, UT.
Mouhamed Yazan Abou-IsmailUniversity of Utah School of Medicine, Salt Lake City, UT.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The PLASMIC score is widely used to guide early identification of immune thrombotic thrombocytopenic purpura (iTTP), but some studies suggest decreased performance in different populations and low predictive yield of specific components. Refining rapid diagnosis of iTTP may improve outcomes. We conducted a multicenter retrospective analysis of patients who underwent ADAMTS13 testing. We validated the PLASMIC score, evaluated the predictive performance of its individual components using multivariable logistic regression, and compared performance between 2 age groups (<60 and ≥60 years). We generated modified score variants by excluding low-yield components and/or incorporating lactate dehydrogenase (LDH). We included 482 patients (iTTP, n = 80; controls, n = 402). PLASMIC retained good performance (area under the curve [AUC], 0.854), but sensitivity declined with older age (83% vs 62%). Mean corpuscular volume (MCV) was the only PLASMIC component that lacked independent predictive value (odds ratio [OR], 1.1;

Identifiers

PMID42164818
PMCPMC13185983

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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.