Evidence map›Paper›PMID 40921890›Full record

Observational studyJournal of hematopathology2025

Immune cell subset variations in immune thrombocytopenia: a prospective observational study.

Kartik A Purohit, Jyoti Kotwal, Nitin Gupta, Ajay Sharma, Jasmita Dass

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Journal of hematopathology, 2025. 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. Correlation between the CD8Frontiers in pediatrics · 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

5 authors.

Kartik A PurohitSir Ganga Ram Hospital, New Delhi, India. drkartikpurohit@gmail.com.
Jyoti KotwalSir Ganga Ram Hospital, New Delhi, India. drjyotikotwal@gmail.com.
Nitin GuptaSir Ganga Ram Hospital, New Delhi, India.
Ajay SharmaSir Ganga Ram Hospital, New Delhi, India.
Jasmita DassAll India Institute of Medical Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluated immune cell subset variations in immune thrombocytopenia (ITP) by comparing frequencies at diagnosis with controls and assessing changes post-therapy. A single-center prospective observational study enrolled 25 untreated acute and chronic ITP patients and 20 matched controls from January 2018 to January 2019. Immune cell subsets, including CD4+, CD8+, NK cells, NK-T cells, and T regulatory cells (Tregs), were analyzed using flow cytometric immunophenotyping. Patients received standard therapy, with responses assessed after 1 month using international criteria. The median age of patients was 43 years, with 52% female. At diagnosis, patients exhibited significantly lower Tregs (p = 0.001) and NK-T cells (p = 0.017), higher CD8+ cytotoxic T-cells, and a reduced CD4/CD8 ratio (p = 0.001) compared to controls. Following therapy, 85% of patients responded: 45% achieved complete response, and 40% partial response. However, post-treatment immune cell subsets did not differ significantly from baseline, nor could they predict response. ITP patients display notable immune cell abnormalities compared to controls, though these differences do not serve as reliable predictors of treatment outcomes. Further large-scale studies with functional analyses are essential to elucidate ITP pathogenesis and identify therapeutic targets.

Indexed as

Purpura, Thrombocytopenic, IdiopathicAdultAgedFemaleHumansImmunophenotypingMaleMiddle AgedProspective StudiesYoung AdultAutoimmune diseasesCD4-CD8 ratioImmune thrombocytopeniaNatural killer cellsPlatelet countRegulatory T-lymphocytesT-lymphocyte subsets

Identifiers

What OpenQuestion holds

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Registered trials

None linked

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.