Evidence map›Paper›PMID 34750495›Full record

SynthesisScientific reports2021

D-dimer, disease severity, and deaths (3D-study) in patients with COVID-19: a systematic review and meta-analysis of 100 studies.

Seshadri Reddy Varikasuvu, Saurabh Varshney, Naveen Dutt, Manne Munikumar, Shahir Asfahan, Paresh P Kulkarni, Pratima Gupta

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 5% 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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Predicting the severity of COVID-19 using machine learning methods.BMC medical informatics and decision making · 2026
    Article
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  9. Review
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  20. Genetic signatures ofFrontiers in immunology · 2024
    Observational
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

7 authors at 5 institutions in 1 country.

Seshadri Reddy VarikasuvuDepartment of Biochemistry, All India Institute of Medical Sciences, Deoghar, 814142, India. lifeschemistry@live.com.
Saurabh VarshneyAll India Institute of Medical Sciences, Deoghar, 814142, India.
Naveen DuttDepartment of Respiratory Medicine, All India Institute of Medical Sciences, Jodhpur, 342005, India.
Manne MunikumarDepartment of Bioinformatics, ICMR-National Institute of Nutrition, Hyderabad, 500007, India.
Shahir AsfahanDepartment of Respiratory Medicine, All India Institute of Medical Sciences, Jodhpur, 342005, India.
Paresh P KulkarniDepartment of Biochemistry, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India.
Pratima GuptaDepartment of Microbiology, All India Institute of Medical Sciences, Rishikesh, 249203, India.
All India Institute of Medical Sciences, DeogharAll India Institute of Medical Sciences Jodhpur · INAll India Institute of Medical Sciences RishikeshBanaras Hindu University · INNational Institute of Nutrition · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypercoagulability and the need for prioritizing coagulation markers for prognostic abilities have been highlighted in COVID-19. We aimed to quantify the associations of D-dimer with disease progression in patients with COVID-19. This systematic review and meta-analysis was registered with PROSPERO, CRD42020186661.We included 113 studies in our systematic review, of which 100 records (n = 38,310) with D-dimer data) were considered for meta-analysis. Across 68 unadjusted (n = 26,960) and 39 adjusted studies (n = 15,653) reporting initial D-dimer, a significant association was found in patients with higher D-dimer for the risk of overall disease progression (unadjusted odds ratio (uOR) 3.15; adjusted odds ratio (aOR) 1.64). The time-to-event outcomes were pooled across 19 unadjusted (n = 9743) and 21 adjusted studies (n = 13,287); a strong association was found in patients with higher D-dimers for the risk of overall disease progression (unadjusted hazard ratio (uHR) 1.41; adjusted hazard ratio (aHR) 1.10). The prognostic use of higher D-dimer was found to be promising for predicting overall disease progression (studies 68, area under curve 0.75) in COVID-19. Our study showed that higher D-dimer levels provide prognostic information useful for clinicians to early assess COVID-19 patients at risk for disease progression and mortality outcomes. This study, recommends rapid assessment of D-dimer for predicting adverse outcomes in COVID-19.

Indexed as

AdultAgedArea Under CurveBiomarkersCOVID-19Disease ProgressionFemaleFibrin Fibrinogen Degradation ProductsHumansMaleMiddle AgedOdds RatioPrognosisProportional Hazards ModelsRespiration, ArtificialRiskBiomarkersFibrin Fibrinogen Degradation Productsfibrin fragment D

Identifiers

PMID34750495
PMCPMC8576016
OpenAlexW3211414942

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.