Evidence map›Paper›PMID 35463034›Full record

ArticleFrontiers in medicine2022

Association Between Platelet Levels and 28-Day Mortality in Patients With Sepsis: A Retrospective Analysis of a Large Clinical Database MIMIC-IV.

Danni Wang, Suning Wang, Hao Wu, Jiansheng Gao, Kairong Huang, Danhong Xu, Huangyao Ru

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 34 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Danni WangDepartment of Critical Care, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
Suning WangDepartment of Critical Care, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
Hao WuDepartment of Critical Care, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
Jiansheng GaoDepartment of Critical Care, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
Kairong HuangDepartment of Critical Care, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
Danhong XuDepartment of Critical Care, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
Huangyao RuDepartment of Critical Care, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
First Affiliated Hospital of Guangdong Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This research focused on evaluating the correlation between platelet count and sepsis prognosis, and even the dose-response relationship, in a cohort of American adults. Method: Platelet counts were recorded retrospectively after hospitalization for patients admitted to Beth Israel Deaconess Medical Center's intensive care unit between 2008 and 2019. On admission to the intensive care unit, sepsis patients were divided into four categories based on platelet counts (very low < 50 × 10 Results: The risk of 28-day septic mortality was nearly 2-fold higher in the platelet very low group when compared to the low group (hazard ratios [HRs], 2.24; 95% confidence interval [CI], 1.92-2.6). Further analysis revealed a curvilinear association between platelets and the sepsis risk of death, with a saturation effect predicted at 100 × 10 Conclusion: When platelet count was less than 100 × 10

Indexed as

intensive care unitMIMIC-IVmortalityplatelet countsepsis

Identifiers

PMID35463034
PMCPMC9021789
OpenAlexW4226040087

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.