Evidence map›Paper›PMID 33110602›Full record

ArticleSAGE open medicine2020

Thrombocytopenia in 737 adult intensive care unit patients: A real-world study of associated factors, drugs, platelet transfusion, and clinical outcome.

Man-Ka Zhang, Tian-Qi Xu, Xiao-Jing Zhang, Zhi-Guo Rao, Xiao-Xu He, Mei-Qing Wu, Zhou-Ping Li, Yin Liu, Jing-Cheng Yang, Yi-Fan Gong and 2 more

Open access · goldAbstract read
In one paragraph

Article in SAGE open medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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

12 authors at 1 institution in 1 country.

Man-Ka ZhangIntensive Care Unit, Aerospace Central Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, China.ORCID https://orcid.org/0000-0002-0619-3128
Tian-Qi XuIntensive Care Unit, Aerospace Central Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, China.
Xiao-Jing ZhangIntensive Care Unit, Aerospace Central Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, China.
Zhi-Guo RaoIntensive Care Unit, Aerospace Central Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, China.
Xiao-Xu HeIntensive Care Unit, Aerospace Central Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, China.
Mei-Qing WuIntensive Care Unit, Aerospace Central Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, China.
Zhou-Ping LiIntensive Care Unit, Aerospace Central Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, China.
Yin LiuIntensive Care Unit, Aerospace Central Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, China.
Jing-Cheng YangIntensive Care Unit, Aerospace Central Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, China.
Yi-Fan GongIntensive Care Unit, Aerospace Central Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, China.
Ming TangIntensive Care Unit, Aerospace Central Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, China.
Xiao-Yan XueIntensive Care Unit, Aerospace Central Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to identify and represent factors associated with thrombocytopenia in intensive care unit, especially the pathogens and drugs related to severe and extremely thrombocytopenia. Then, we aim to compare the mortality of platelet transfusion and non-transfusion in patients with different degrees of thrombocytopenia.

methodsWe identified all thrombocytopenic patients in intensive care unit by using platelet-specific values and then extracted electronic health records from our Hospital Information System. Data were statistically analyzed with t test, chi-square test, and logistic regression.

resultsWe found that infections (32.7%) were the most frequent cause associated with thrombocytopenia, followed by sepsis shock (3.93%) and blood loss (2.99%). Meanwhile, antifungals (

conclusionInfection and sepsis emerged as two primary factors associated with thrombocytopenia in intensive care unit. Meanwhile, antifungals and bacterial infection were associated with platelet counts less than 49/nL. Finally, platelet transfusion may be associated with reduced mortality in patients with platelet counts between 30 and 49/nL.

Indexed as

etiologyintensive care unit mortalityprognosisThrombocytopenia

Identifiers

PMID33110602
PMCPMC7564627
OpenAlexW3092042190

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.