Evidence map›Paper›PMID 35027794›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2021

Disseminated Intravascular Coagulation Score and Sepsis-induced Coagulopathy Score in Prediction of COVID-19 Severity: A Retrospective Analysis.

Mayank Kapoor, Prasan Kumar Panda, Lokesh Kumar Saini, Yogesh Bahurupi

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Co-infection withOxford medical case reports · 2024
    Article
  3. Review
  4. Study to Determine a Prognostic Cutoff Values of the Coagulation Analyte D-dimer for ICU Admission among COVID-19 Patients.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2023
    Article
  5. Review
  6. Compass in COVID-19 Illness: Disseminated Intravascular Coagulation/Sepsis-induced Coagulopathy Scoring in Predicting Severity.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2021
    Article
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

4 authors at 1 institution.

Mayank KapoorDepartment of Internal Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.ORCID https://orcid.org/0000-0002-7764-0044
Prasan Kumar PandaDepartment of Internal Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.ORCID https://orcid.org/0000-0002-3008-7245
Lokesh Kumar SainiDepartment of Pulmonary Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.ORCID https://orcid.org/0000-0002-6972-3966
Yogesh BahurupiDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.ORCID https://orcid.org/0000-0003-2433-1624
All India Institute of Medical Sciences Rishikesh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe novel disseminated intravascular coagulation (DIC) score (platelet count, prolonged prothrombin time, D-dimer, and fibrinogen) and sepsis-induced coagulopathy (SIC) score (platelet count, international normalized ratio, and sequential organ failure assessment score) are markers of coagulopathy, which, for the first time, are explored in line with the coronavirus disease-2019 (COVID-19) disease outcomes. The correlation of D-dimer with these findings is also studied. MATERIALS AND

methodsA retrospective analysis of hospital-based records of 168 COVID-19 patients was done. Data including D-dimer, routine investigations, DIC, and SIC scorings (all within 3 days of admission) were collected and correlated with the outcomes. The study was conducted in a tertiary care center catering to North India's population.

resultsHigher DIC score (1.59 ± 1.18 vs 0.96 ± 1.18), SIC score (1.60 ± 0.89 vs 0.63 ± 0.99), and D-dimer titers (1321.33 ± 1627.89 vs 583·66 ± 777.71 ng/mL) were significantly associated with severe COVID-19 disease (

conclusionHigher DIC scores, SIC scores, and D-dimer values are associated with severe COVID-19 disease, inhospital mortality, and PE risk. They can serve as easily accessible early markers of severe disease and prioritize hospital admissions in the presently overburdened scenario and may be used to develop prognostic prediction models. HOW TO CITE THIS ARTICLE: Kapoor M, Panda PK, Saini LK, Bahurupi Y. Disseminated Intravascular Coagulation Score and Sepsis-induced Coagulopathy Score in Prediction of COVID-19 Severity: A Retrospective Analysis. Indian J Crit Care Med 2021;25(12):1357-1363.

Indexed as

Coronavirus disease-2019Disseminated intravascular coagulation scoreHospital mortalityPulmonary embolismSepsis-induced coagulopathy score

Identifiers

PMID35027794
PMCPMC8693109
OpenAlexW3217421635

What OpenQuestion holds

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Registered trials

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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.