Evidence map›Paper›PMID 41063990›Full record

ReviewFrontiers in immunology2025

Cancer treatment-induced thrombocytopenia: diagnosis, mechanisms and management.

Xutong Zhao, Xiu Shan, Shaofeng Sui, Qinghao Song, Miao Cheng, Yi Zhao

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Observational
  2. Chemotherapy-induced thrombocytopenia: from "platelet counting" to ecological repair of the bone marrow.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. 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

6 authors.

Xutong Zhao *First Affiliated Hospital, Dalian Medical University, Dalian, China.
Xiu Shan *First Affiliated Hospital, Dalian Medical University, Dalian, China.
Shaofeng SuiFirst Affiliated Hospital, Dalian Medical University, Dalian, China.
Qinghao SongFirst Affiliated Hospital, Dalian Medical University, Dalian, China.
Miao ChengFirst Affiliated Hospital, Dalian Medical University, Dalian, China.
Yi ZhaoFirst Affiliated Hospital, Dalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer treatment-induced thrombocytopenia (CTIT) is a common adverse effect in malignant tumor patients, significantly increasing the risk of bleeding and negatively impacting treatment efficacy and quality of life. Current treatment options for CTIT primarily include platelet transfusion, recombinant human interleukin-11 (rhIL-11), recombinant human thrombopoietin (rhTPO) and thrombopoietin receptor agonists (TPO-RAs). However, these methods have their limitations; for instance, platelet transfusions may cause adverse reactions, and the efficacy and safety of rhTPO and TPO-RAs remain controversial. This review aims to summarize the current treatment landscape for CTIT and explore new therapeutic advancement, including the potential role of traditional Chinese medicine, in order to provide more effective treatment strategies for clinical practice.

Indexed as

Antineoplastic AgentsNeoplasmsThrombocytopeniaAnimalsDisease ManagementHumansPlatelet TransfusionReceptors, ThrombopoietinThrombopoietinAntineoplastic AgentsReceptors, ThrombopoietinThrombopoietinchemotherapy-induced thrombocytopenia (CIT)CTITimmune checkpoint inhibitors-induced thrombocytopenia (ICIIT)TPO-RAstraditional Chinese medicine (TCM)

Identifiers

PMID41063990
PMCPMC12500713

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.