Evidence map›Paper›PMID 34334904›Full record

ArticleMedical journal, Armed Forces India2021

An analysis of mortality and survival of COVID 19 patients admitted to a tertiary care hospital in Maharashtra, India.

Saurabh Bobdey, Naveen Chawla, Vineet Behera, Sougat Ray, M Ilankumaran, George Koshy, S K Kaushik

Open access · greenAbstract read
In one paragraph

Article in Medical journal, Armed Forces India, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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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

7 authors at 3 institutions in 1 country.

Saurabh BobdeyProfessor, Department of Community Medicine, Armed Forces Medical College, Pune, India.
Naveen ChawlaDGMS (Navy), O/o DGMS (N), IHQ MoD (Navy), 'A' Wing, Sena Bhawan, New Delhi, India.
Vineet BeheraClassified Specialist (Medicine), INHS Asvini, Colaba, Mumbai, India.
Sougat RaySSO (Health), Western Naval Headquarters, HQ WNC, Mumbai, India.
M IlankumaranCapt (MS) Health, O/o DGMS (N), IHQ MoD (Navy), 'A' Wing, Sena Bhawan, New Delhi, India.
George KoshyJDMS (Pens), O/o DGAFMS, MoD, New Delhi, India.
S K KaushikProfessor & Head, Department of Community Medicine, Armed Forces Medical College, Pune, India.
Indian Navy · INArmed Forces Medical College · ININHS Asvini · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAfter nine months of responding to the coronavirus disease-19 (COVID-19) pandemic, the scientific fraternity is yet to unravel the mystery of those who are at most risk from mortality. Despite resistance to wear masks, the global public health response has beaten the grimmer projections of millions of deaths. The present study seeks to analyze the survival of COVID-19 patients at a tertiary care hospital and identify the risk factors of mortality.

methodsMedical records of 1233 RT PCR confirmed COVID-19 patients admitted in a tertiary care hospital between 01 April and 30 September 2020 were retrospectively analyzed for calculating overall survival and to investigate the independent predictors of survival of COVID-19 patients.

resultsThere were 72 (5.8%) deaths; which occurred in 24.9% of the elderly (age > 60yrs) people (P < 0.001), 76.0% in people with multiple comorbidities (having more than one comorbidity) (P < 0.001), 75.6% in people with diabetes (P < 0.001), and 75.5% in people with hypertension (P < 0.001). A significantly higher risk of mortality was observed in elderly patients, patients with comorbidities, and patients requiring oxygen while admitted in the hospital.

conclusionSurvival reflects the cure rates and is used by health professionals and policymakers to plan and implement disease control measures. The insights provided by the study would help facilitate the identification of patients at risk and timely provision of specialized care for the prevention of adverse outcomes in the hospital setting.

Indexed as

COVID risk factorsIndiaMortalitySurvival

Identifiers

PMID34334904
PMCPMC8313027
OpenAlexW3186065996

What OpenQuestion holds

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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 OpenQuestion graph.