Evidence map›Paper›PMID 32892061›Full record

ArticleDiabetes & metabolic syndrome

A proposed ABCD scoring system for better triage of patients with COVID-19: Use of clinical features and radiopathological findings.

Abhijeet Ashok Salunke, Vikas Warikoo, Subodh Kumar Pathak, Kunal Nandy, Jalil Mujawar, Harshal Mendhe, Anand Shah, Vishwanth Kottakota, Vivek Menon, Shashank Pandya

Open access · greenAbstract readLetter
In one paragraph

Article in Diabetes & metabolic syndrome. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 14 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

10 authors at 2 institutions in 1 country.

Abhijeet Ashok SalunkeGujarat Cancer and Research Institute, Ahmedabad, Gujarat, India. Electronic address: drabhijeetsalunke@gmail.com.
Vikas WarikooSurgical Oncology, Gujarat Cancer and Research Institute, Ahmedabad, Gujarat, India.
Subodh Kumar PathakMMIMSR, M M Deemed to be university, Mullana, Ambala, India.
Kunal NandyGujarat Cancer and Research Institue, Ahmedabad, Gujarat, India.
Jalil MujawarSahyadri Hospital, Pune, Maharashtra, India.
Harshal MendheDepartment of Preventive and Social Medicine, GMC, Rajandgaon, Chattisgarh, India.
Anand ShahDepartment of Preventive and Social Medicine, Gujarat Cancer and Research Institute, Ahmedabad, Gujarat, India.
Vishwanth KottakotaGujarat Cancer and Research Institute, Ahmedabad, Gujarat, India.
Vivek MenonGujarat Cancer and Research Institute, Ahmedabad, Gujarat, India.
Shashank PandyaGujarat Cancer and Research Institute, Ahmedabad, Gujarat, India.
Gujarat Cancer & Research Institute · INSahyadri Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsCurrently there are limited tools available for triage of patients with COVID -19. We propose a new ABCD scoring system for patients who have been tested positive for COVID-19.

methodsThe ABCD score is for patients who have been tested positive for COVID-19 and admitted in a hospital. This score includes age of the patient, blood tests included leukopenia, lymphocytopenia, CRP level, LDH level,D-Dimer, Chest radiograph and CT Scan, Comorbidities and Dyspnea.

resultsThe triage score had letters from alphabets which included A, B, C, D. The score was developed using these variables which outputs a value from 0 to 1. We had used the code according to traffic signal system; green(mild), yellow moderate) and red(severe). The suggestions for mild (green)category: symptomatic treatment in ward, in moderate (yellow) category: active treatment, semi critical care and oxygen supplementation, in severe (red) category: critical care and intensive care.

conclusionsThis study is, to our knowledge, is the first scoring tool that has been prepared by Indian health care processional's and used alphabets A, B,C,D as variables for evaluation of admitted patients with COVID-19. This triage tool will be helpful in better management of patients with COVID-19. This score component includes clinical and radiopathological findings.A multi-centre study is required to validate all available scoring systems.

Indexed as

Severity of Illness IndexAge FactorsCOVID-19DyspneaHematologic TestsHumansPatient AdmissionTomography, X-Ray ComputedTriageABCD ScoreCorona disease scoreCOVID-19 scoring systemTriage score

Identifiers

PMID32892061
PMCPMC7448768
OpenAlexW3080584648

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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.