Evidence map›Paper›PMID 35649611›Full record

ArticleBMJ open2022

Clinicodemographic profile and predictors of poor outcome in hospitalised COVID-19 patients: a single-centre, retrospective cohort study from India.

Lokesh Tiwari, Prakriti Gupta, Yankappa N, Amrita Banerjee, Yogesh Kumar, Prashant K Singh, Alok Ranjan, C M Singh, Prabhat Kumar Singh

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Lokesh TiwariPediatrics, All India Institute of Medical Sciences, Patna, Bihar, India lokeshdoc@yahoo.com.ORCID 0000-0002-2231-0152
Prakriti GuptaPediatrics, All India Institute of Medical Sciences, Patna, Bihar, India.
Yankappa NPediatrics, All India Institute of Medical Sciences, Patna, Bihar, India.
Amrita BanerjeePediatrics, All India Institute of Medical Sciences, Patna, Bihar, India.
Yogesh Kumar *Physiology, All India Institute of Medical Sciences, Patna, Bihar, India.
Prashant K Singh *Surgery, All India Institute of Medical Sciences, Patna, Bihar, India.
Alok RanjanCommunity and Family Medicine, All India Institute of Medical Sciences, Patna, Bihar, India.
C M SinghCommunity and Family Medicine, All India Institute of Medical Sciences, Patna, Bihar, India.
Prabhat Kumar SinghDirectorate, All India Institute of Medical Sciences, Patna, Bihar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPrimary objective was to study the clinicodemographic profile of hospitalised COVID-19 patients at a tertiary-care centre in India. Secondary objective was to identify predictors of poor outcome.

settingSingle centre tertiary-care level.

designRetrospective cohort study.

participantsConsecutively hospitalised adults patients with COVID-19. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcome variable was in-hospital mortality. Covariables were known comorbidities, clinical features, vital signs at the time of admission and on days 3-5 of admission, and initial laboratory investigations.

resultsIntergroup differences were tested using χ

conclusionCOVID-19 related mortality in hospitalised adult patients at our center was similar to the developed countries. Progression in disease severity on days 3-5 of admission or days 6-13 of illness onset acts as 'turning point' for timely referral or treatment intensification for optimum use of resources.

Indexed as

COVID-19Renal Insufficiency, ChronicAdultHumansIndiaMaleRetrospective StudiesSARS-CoV-2covid-19epidemiologyinternational health servicespublic health

Identifiers

PMID35649611
PMCPMC9160596

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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.