Evidence map›Paper›PMID 40303370›Full record

ArticleFrontiers in medicine2025

Warning indicators of COVID-19 severity: a retrospective observational study integrating modern biomarkers and traditional tongue features.

Zhang Jing, Liu Yuntao, Zheng Danwen, Ye Gangfu, Chen Qiumin, Huang Jianshan, Wang Jiamei, Ma Zengming, Zhang Zhongde

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in medicine, 2025. 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
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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

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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

9 authors.

Zhang JingDepartment of Pulmonary and Critical Care Medicine, Xiamen Hospital of Traditional Chinese Medicine, Xiamen, Fujian, China.
Liu YuntaoKey Laboratory of Infectious Diseases, Guangdong Provincial Bureau of Chinese Medicine, Guangzhou, China.
Zheng DanwenEmergency Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Ye GangfuDepartment of Pulmonary and Critical Care Medicine, Xiamen Hospital of Traditional Chinese Medicine, Xiamen, Fujian, China.
Chen QiuminDepartment of Traditional Chinese Medicine, Xinglin Branch of the First Affiliated Hospital of Xiamen University, Xiamen, Fujian, China.
Huang JianshanDepartment of Pediatrics, Xiamen Hospital of Traditional Chinese Medicine, Xiamen, Fujian, China.
Wang JiameiDepartment of Traditional Chinese Medicine, Xiamen Fifth Hospital, Xiamen, Fujian, China.
Ma ZengmingIntegrated TCM & Western Medicine Department, Xiamen Xianyue Hospital, Xiamen, Fujian, China.
Zhang ZhongdeKey Laboratory of Infectious Diseases, Guangdong Provincial Bureau of Chinese Medicine, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to identify early warning indicators of COVID-19 severity by integrating modern medical biomarkers with traditional Chinese medicine (TCM) tongue features. Methods: A retrospective observational study was conducted on 409 hospitalized COVID-19 patients from two centers in China. Patients were stratified into severe ( Results: Age ( Conclusion: Integrating TCM tongue features (thick fur and fat shape) with clinical biomarkers (age, fever, and PCT) enhances early identification of severe COVID-19, particularly in resource-limited settings.

Indexed as

biomarkersCOVID-19severity predictiontongue diagnosistraditional Chinese medicine

Identifiers

PMID40303370
PMCPMC12037591

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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.