Evidence map›Paper›PMID 39440172›Full record

Observational studyFrontiers in public health2024

Case-control study on risk factors for in-hospital mortality in patients with severe COVID-19.

Kemei Wu, Lili Yin, Jiangqin Han, Qiuhan Cai, Yang Guo, Xin Jin, Jinling Wu, Yupei Cheng

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kemei Wu *Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Lili Yin *National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Jiangqin Han *Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Qiuhan CaiNational Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yang GuoNational Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Xin JinGraduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Jinling WuGraduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yupei ChengGraduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The purpose of this study was to identify independent risk factors affecting patient survival and explore predictors of severe cases of coronavirus disease 2019 (COVID-19). Methods: We conducted a retrospective, observational, case-control study on adult patients with severe COVID-19 who were admitted to affiliated hospitals in Tianjin between December 18, 2022, and January 31, 2023. We used univariate and multifactorial logistic regression analyses to analyze demographic indicators, comorbidity profiles, and laboratory parameters in two groups of patients (deceased and surviving) to identify independent risk factors for death in patients with severe COVID-19. Results: Patients in the deceased group were older than those in the survival group ( Conclusion: The main risk factors for mortality in patients with severe COVID-19 that we identified in this study were the advanced age of patients, coexisting respiratory insufficiency, elevated levels of WBC and CK, and decreased levels of PAO2. Elevated WBC and CK laboratory parameters, in particular, demonstrated good predictive value for in-hospital mortality risk.

Indexed as

COVID-19Hospital MortalityAdultAgedAged, 80 and overCase-Control StudiesChinaComorbidityFemaleHumansMaleMiddle AgedRespiratory InsufficiencyRetrospective StudiesRisk FactorsSARS-CoV-2case–control studymortalityretrospective studiesrisk factorsrisk prediction modelssevere COVID-19

Identifiers

PMID39440172
PMCPMC11493594

What OpenQuestion holds

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LicenceCC BY
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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.