Evidence map›Paper›PMID 34236141›Full record

ArticleImmunity, inflammation and disease2021

Serum triglyceride levels and related factors as prognostic indicators in COVID-19 patients: A retrospective study.

Peng Zhong, Zhenzhou Wang, Zhe Du

Open access · goldAbstract read
In one paragraph

Article in Immunity, inflammation and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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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

3 authors at 2 institutions in 1 country.

Peng ZhongDepartment of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Zhenzhou WangTrauma Center, National Center for Trauma Medicine, Key Laboratory of Trauma and Neural Regeneration, Peking University People's Hospital, Beijing, China.
Zhe DuTrauma Center, National Center for Trauma Medicine, Key Laboratory of Trauma and Neural Regeneration, Peking University People's Hospital, Beijing, China.ORCID 0000-0003-0311-2916
Peking University · CNCapital Medical University · CN

Funding

Natural Science Foundation of Beijing Municipality 7204321Peking University People's Hospital Scientific Research Development Funds 2019-02Youth Development Fund of Peking University School of Medicine BMU2021PYB008
6 · The paper itself

Abstract

The role of triglycerides (TG) in coronavirus disease (COVID-19) is controversial. The objective of this study was to explore the relationship between TG levels and prognosis in COVID-19 patients and investigate the factors that affect TG. COVID-19 patients were divided into normal or high TG level groups. Their demographic data, medical history, signs and symptoms, laboratory results, and final clinical results were analyzed retrospectively. A total of 174 patients were included. TG level was 1.6 (interquartile range [IQR]: 1.1-2.1) mmol/L for all patients; 2.2 (IQR: 1.8-2.7) mmol/L and 1.1 (IQR: 1.0-1.3) mmol/L in the high TG and control groups, respectively. Overall, 29 patients (16.7%) died during hospitalization, including 19 (23.1%) in the high TG group and 10 (11.5%) in the control group (absolute survival difference, 2.5% (95% confidence interval [CI], 1.2%-5.1%), log-rank χ

Indexed as

COVID-19AgedFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesTriglyceridesTriglyceridesCOVID-19IL-10inflammationmacrophageprognosisserum ferritintriglycerides

Identifiers

PMID34236141
PMCPMC8342209
OpenAlexW3182570188

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.