Evidence map›Paper›PMID 32665858›Full record

ArticleJournal of intensive care2020

D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: a case control study.

Yumeng Yao, Jiatian Cao, Qingqing Wang, Qingfeng Shi, Kai Liu, Zhe Luo, Xiang Chen, Sisi Chen, Kaihuan Yu, Zheyong Huang and 1 more

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Journal of intensive care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 302 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
302citing papers in PubMed, 6 pooled it
14.5field-weighted citation impact, top 1% 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.

NCT04447144 unknown statusnot on this map

Nutritional Habits, Does it Affect Coronavirus Disease 2019 (COVID-19) Infection Outcome? An Egyptian Experience

TypeobservationalSponsorCairo UniversityRan2020 to 2020Enrolled200ConditionsCovid19, Chronic Inflammation, Non-Communicable Chronic Diseases
NCT05126602 nacompletednot on this mapstarted 2021, after this paper: background citation

Vitamin D Supplementation and Changes of Hematology Parameter, Coagulation Profile, and Clinical Improvement Among COVID-19 Patients

TypeinterventionalSponsorBumi HermanRan2021 to 2021Enrolled60ConditionsCOVID-19ArmsVitamin D3 10000 IU, Vitamin D3 1000 IU
3 · Its place in the literature

Who cites it

302 citing papers in PubMed, 6 syntheses or guidelines pooled it, 652 citations in OpenAlex.

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  4. Colchicine, COVID-19 and hematological parameters: A meta-analysis.Journal of clinical laboratory analysis · 2021
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  16. Predicting the severity of COVID-19 using machine learning methods.BMC medical informatics and decision making · 2026
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242 more citing papers are in PubMed but not listed here.

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

11 authors at 3 institutions in 1 country.

Yumeng Yao *Department of Infectious Diseases, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032 China.
Jiatian Cao *Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032 China.
Qingqing WangDepartment of Infectious Diseases, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032 China.
Qingfeng ShiDepartment of Infection Control, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032 China.
Kai LiuDepartment of Critical Care Medicine, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032 China.
Zhe LuoDepartment of Critical Care Medicine, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032 China.
Xiang ChenDepartment of Infection Control, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032 China.
Sisi ChenDepartment of Cardiology, Renmin Hospital, Wuhan University, Gaoxin 6th Road, Donghu High Tech Development Zone, Wuhan City, 430200 China.
Kaihuan YuDepartment of Hepatobiliary Endoscopic Surgery, Renmin Hospital, Wuhan University, Gaoxin 6th Road, Donghu High Tech Development Zone, Wuhan City, 430200 China.
Zheyong HuangShanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032 China.ORCID 0000-0002-6462-8222
Bijie HuDepartment of Infectious Diseases, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032 China.
Sun Yat-sen University · CNFudan University · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver 5,488,000 cases of coronavirus disease-19 (COVID-19) have been reported since December 2019. We aim to explore risk factors associated with mortality in COVID-19 patients and assess the use of D-dimer as a biomarker for disease severity and clinical outcome.

methodsWe retrospectively analyzed the clinical, laboratory, and radiological characteristics of 248 consecutive cases of COVID-19 in Renmin Hospital of Wuhan University, Wuhan, China from January 28 to March 08, 2020. Univariable and multivariable logistic regression methods were used to explore risk factors associated with in-hospital mortality. Correlations of D-dimer upon admission with disease severity and in-hospital mortality were analyzed. Receiver operating characteristic curve was used to determine the optimal cutoff level for D-dimer that discriminated those survivors versus non-survivors during hospitalization.

resultsMultivariable regression that showed D-dimer > 2.0 mg/L at admission was the only variable associated with increased odds of mortality [OR 10.17 (95% CI 1.10-94.38),

conclusionsD-dimer is commonly elevated in patients with COVID-19. D-dimer levels correlate with disease severity and are a reliable prognostic marker for in-hospital mortality in patients admitted for COVID-19.

Indexed as

BiomarkerCoronavirus disease-19D-dimerMortalitySeverity

Identifiers

PMID32665858
PMCPMC7348129
OpenAlexW3041275036

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.