Evidence map›Paper›PMID 41203977›Full record

ArticleAnnals of hematology2025

Safety and risk factors of PICC insertion in hematologic malignancy patients with thrombocytopenia: a retrospective study.

Kun Zhang, Hua Huo, Xiang-Ling Wu, Yan Wang, Wang-Juan Wu, Xin He, Juan Li, Xia Yan

Abstract read
In one paragraph

Article in Annals of hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Kun Zhang *Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Peking University, Beijing, 100871, China.
Hua Huo *Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Peking University, Beijing, 100871, China.
Xiang-Ling WuBeijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Peking University, Beijing, 100871, China.
Yan WangBeijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Peking University, Beijing, 100871, China.
Wang-Juan WuBeijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Peking University, Beijing, 100871, China.
Xin HeBeijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Peking University, Beijing, 100871, China.
Juan LiBeijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Peking University, Beijing, 100871, China.
Xia YanBeijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Peking University, Beijing, 100871, China. Yanxia3910@sina.com.

Funding

Funding: This work was supported by the Peking University People's Hospital Research and Development Funds RDN2022-27
6 · The paper itself

Abstract

Hematology patients often have severe thrombocytopenia and coagulation dysfunction. Despite the risk of bleeding, PICC insertion is still needed to reduce chemotherapy-related adverse reactions. Currently, there are no definitive indicators for predicting whether PICC placement increases bleeding risk in these patients. Additionally, large-scale studies on the safety of PICC insertion in hematology-oncology patients with platelet counts ≤ 50 × 10⁹/L and/or coagulation abnormalities are lacking. To evaluate the safety of PICC insertion in hematological oncology patients with a platelet concentration ≤ 50 × 10⁹/L and/or coagulation dysfunction through a large-sample retrospective study and to identify risk factors for bleeding after PICC placement. We retrospectively analyzed 1511 hematological patients with a platelet count ≤ 50 × 10⁹/L who underwent PICC insertion from February 2017 to January 2020, focusing on risk factors for bleeding within 24 h post-insertion. Multivariate analysis identified independent risk factors for bleeding within 24 h after PICC insertion as PT ≥ 13 s, platelet count ≤ 25 × 10⁹/L, and ADL score ≤ 95 points. Based on these three risk factors, patients were divided into low-risk (0-1 risk factors, 1% bleeding rate) and high-risk (≥ 2 risk factors, 7% bleeding rate) groups. When 0-1 risk factors are present, PICC insertion is safe even for patients with low platelet counts. If ≥ 2 risk factors exist, the decision to insert a PICC should consider the patient's clinical symptoms and needs. Blood product intervention does not affect the bleeding rate.

Indexed as

Catheterization, PeripheralHematologic NeoplasmsThrombocytopeniaAdultAgedAged, 80 and overFemaleHemorrhageHumansMaleMiddle AgedPlatelet CountRetrospective StudiesRisk FactorsBleedingCoagulation dysfunctionHematologic malignancyPICCThrombocytopenia

Identifiers

PMID41203977
PMCPMC12672800

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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.