Evidence map›Paper›PMID 32241296›Full record

ArticleMilitary Medical Research2020

Expert consensus on the diagnosis and treatment of thrombocytopenia in adult critical care patients in China.

Jing-Chun Song, Shu-Yuan Liu, Feng Zhu, Ai-Qing Wen, Lin-Hao Ma, Wei-Qin Li, Jun Wu, Critical Care Medicine Committee of Chinese People’s Liberation Army (PLA); Chinese Society of Laboratory Medicine, Chinese Medical Association

Abstract readConsensus Statement
In one paragraph

Article in Military Medical Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  9. Review
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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.

Jing-Chun SongDepartment of Critical Care Medicine, the 908th Hospital of Joint Logistics Support Forces of Chinese PLA, Nanchang, 360104, China. songjingchun@126.com.
Shu-Yuan LiuEmergency Department, the Sixth Medical Center, Chinese PLA General Hospital, Beijing, 100048, China.
Feng ZhuBurns and Trauma ICU, Changhai Hospital, Naval Medical University, Shanghai, 200003, China.
Ai-Qing WenDepartment of Blood Transfusion, Daping Hospital of Army Medical University, Chongqing, 400042, China.
Lin-Hao MaDepartment of Emergency and Critical Care Medicine, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China.
Wei-Qin LiSurgery Intensive Care Unit, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, China. liweiqindr@vip.163.com.
Jun WuDepartment of Clinical Laboratory, Peking University Fourth School of Clinical Medicine, Beijing Jishuitan Hospital, Beijing, 100035, China. wujunpostbox@sina.com.
Critical Care Medicine Committee of Chinese People’s Liberation Army (PLA); Chinese Society of Laboratory Medicine, Chinese Medical Association

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thrombocytopenia is a common complication of critical care patients. The rates of bleeding events and mortality are also significantly increased in critical care patients with thrombocytopenia. Therefore, the Critical Care Medicine Committee of Chinese People's Liberation Army (PLA) worked with Chinese Society of Laboratory Medicine, Chinese Medical Association to develop this consensus to provide guidance for clinical practice. The consensus includes five sections and 27 items: the definition of thrombocytopenia, etiology and pathophysiology, diagnosis and differential diagnosis, treatment and prevention.

Indexed as

ChinaConsensusCritical CareDiagnosis, DifferentialHumansThrombocytopeniaAdultCritical careDiagnosisExpert consensusThrombocytopeniaTreatment

Identifiers

PMID32241296
PMCPMC7118900

What OpenQuestion holds

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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.