Evidence map›Paper›PMID 34025688›Full record

SynthesisFrontiers in immunology2021

Associations of D-Dimer on Admission and Clinical Features of COVID-19 Patients: A Systematic Review, Meta-Analysis, and Meta-Regression.

Runzhen Zhao, Zhenlei Su, Andrey A Komissarov, Shan-Lu Liu, Guohua Yi, Steven Idell, Michael A Matthay, Hong-Long Ji

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
2.7field-weighted citation impact, top 8% 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 49 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Runzhen ZhaoDepartment of Cellular and Molecular Biology, University of Texas Health Science Centre at Tyler, Tyler, TX, United States.
Zhenlei SuDepartment of Respiratory and Critical Care Medicine, Xinxiang Central Hospital, Xinxiang, Henan, China.
Andrey A KomissarovDepartment of Cellular and Molecular Biology, University of Texas Health Science Centre at Tyler, Tyler, TX, United States.
Shan-Lu LiuDepartment of Veterinary Biosciences, The Ohio State University, Columbus, OH, United States.
Guohua YiDepartment of Pulmonary Immunology, The University of Texas Health Science Centre at Tyler, Tyler, TX, United States.
Steven IdellDepartment of Cellular and Molecular Biology, University of Texas Health Science Centre at Tyler, Tyler, TX, United States.
Michael A MatthayCardiovascular Research Institute, University of California San Francisco, San Francisco, CA, United States.
Hong-Long JiDepartment of Cellular and Molecular Biology, University of Texas Health Science Centre at Tyler, Tyler, TX, United States.
The University of Texas Health Science Center at Tyler · USThe Ohio State University · USUniversity of California, San Francisco · USXinxiang Central Hospital · CN

Funding

Delivery of PAI-1-targeted intrapleural fibrinolytic therapy for empyemaR01HL130402 · NHLBI · UNIVERSITY OF TEXAS HLTH CTR AT TYLER · PI FLOROVA, GALINA, IDELL, STEVEN · 2017 to 2024
$3.8M
NOVEL PARACRINE MECHANISMS FOR CELL-BASED THERAPY OF INJURED LUNGSR01HL134828 · NHLBI · UNIVERSITY OF TEXAS HLTH CTR AT TYLER · PI JI, HONG-LONG · 2017 to 2025
$3.4M
IFITM-mediated Inhibition of HIV Infection and Viral CountermeasuresR01AI112381 · NIAID · UNIVERSITY OF MISSOURI-COLUMBIA · PI LIU, SHAN-LU · 2014 to 2018
$1.7M
Regulation of lung epithelial sodium channels by cGMPR01HL087017 · NHLBI · UNIVERSITY OF TEXAS HLTH CTR AT TYLER · PI JI, HONG-LONG · 2007 to 2011
$1.6M
TIM-mediated Inhibition of HIV Release: Cooperation with SERINC and Antagonism by NefR01AI150473 · NIAID · OHIO STATE UNIVERSITY · PI LIU, SHAN-LU · 2019 to 2021
$995k
Optimization of a Rabbit Retained Hemothorax Model for Evidence-Based Pharmacologic InterventionsR33HL154103 · NHLBI · UNIVERSITY OF TEXAS HLTH CTR AT TYLER · PI FLOROVA, GALINA, IDELL, STEVEN · 2020 to 2021
$881k
ENaC Expression in Human COPD Airway and Lung TissuesR03HL095435 · NHLBI · UNIVERSITY OF TEXAS HLTH CTR AT TYLER · PI JI, HONG-LONG · 2009 to 2009
$71k
NHLBI NIH HHS R01 HL087017NHLBI NIH HHS R01 HL130402NHLBI NIH HHS R01 HL134828NHLBI NIH HHS R03 HL095435NHLBI NIH HHS R33 HL154103NIAID NIH HHS R01 AI112381NIAID NIH HHS R01 AI150473
6 · The paper itself

Abstract

Background: Dynamic D-dimer level is a key biomarker for the severity and mortality of COVID-19 (coronavirus disease 2019). How aberrant fibrinolysis influences the clinical progression of COVID-19 presents a clinicopathological dilemma challenging intensivists. Methods: We performed meta-analysis and meta regression to analyze the associations of plasma D-dimer with 106 clinical variables to identify a panoramic view of the derangements of fibrinolysis in 14,862 patients of 42 studies. There were no limitations of age, gender, race, and country. Raw data of each group were extracted separately by two investigators. Individual data of case series, median and interquartile range, and ranges of median or mean were converted to SDM (standard deviation of mean). Findings: The weighted mean difference of D-dimer was 0.97 µg/mL (95% CI 0.65, 1.29) between mild and severe groups, as shown by meta-analysis. Publication bias was significant. Meta-regression identified 58 of 106 clinical variables were associated with plasma D-dimer levels. Of these, 11 readouts were negatively related to the level of plasma D-dimer. Further, age and gender were confounding factors. There were 22 variables independently correlated with the D-dimer level, including respiratory rate, dyspnea plasma K Interpretation: These findings support elevated D-dimer as an independent predictor for both mortality and complications. The identified D-dimer-associated clinical variables draw a landscape integrating the aggregate effects of systemically suppressive and pulmonary hyperactive derangements of fibrinolysis, and the D-dimer-associated clinical biomarkers, and conceptually parameters could be combined for risk stratification, potentially for tracking thrombolytic therapy or alternative interventions.

Indexed as

BiomarkersCOVID-19Diagnostic Tests, RoutineDisease ProgressionFibrin Fibrinogen Degradation ProductsHumansPatient AdmissionSARS-CoV-2Severity of Illness IndexBiomarkersFibrin Fibrinogen Degradation Productsfibrin fragment DcomorbidityCOVID-19D-dimerfibrinogenolysisfibrinolysismeta-regression

Identifiers

PMID34025688
PMCPMC8138429
OpenAlexW3158138914

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.