Evidence map›Paper›PMID 34540855›Full record

SynthesisFrontiers in medicine2021

Chronic Diseases as a Predictor for Severity and Mortality of COVID-19: A Systematic Review With Cumulative Meta-Analysis.

JinSong Geng, XiaoLan Yu, HaiNi Bao, Zhe Feng, XiaoYu Yuan, JiaYing Zhang, XiaoWei Chen, YaLan Chen, ChengLong Li, Hao Yu

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 6 pooled it
–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

52 citing papers in PubMed, 6 syntheses or guidelines 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

10 authors.

JinSong GengDepartment of Medical Informatics, Medical School of Nantong University, Nantong, China.
XiaoLan YuDepartment of Medical Informatics, Medical School of Nantong University, Nantong, China.
HaiNi BaoDepartment of Medical Informatics, Medical School of Nantong University, Nantong, China.
Zhe FengDepartment of Medical Informatics, Medical School of Nantong University, Nantong, China.
XiaoYu YuanDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, China.
JiaYing ZhangDepartment of Medical Informatics, Medical School of Nantong University, Nantong, China.
XiaoWei ChenLibrary and Reference Department, Zhejiang University School of Medicine First Affiliated Hospital, Hangzhou, China.
YaLan ChenDepartment of Medical Informatics, Medical School of Nantong University, Nantong, China.
ChengLong LiDepartment of Medical Informatics, Medical School of Nantong University, Nantong, China.
Hao YuDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

chronic diseasesCOVID-19cumulative meta-analysismortalityseveritysystematic review

Identifiers

PMID34540855
PMCPMC8440884

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.