Evidence map›Paper›PMID 37128527›Full record

ArticleCureus2023

Predictors of Mortality Among Post-COVID-19 Discharged Patients in Northern India: A Case-Control Study.

Arjun Kumar, Basavaraj Jatteppanvar, Prasan K Panda, Pathik Dhangar, Yogesh A Bahurupi

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% 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, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. 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

5 authors at 1 institution in 1 country.

Arjun KumarInternal Medicine, All India Institute of Medical Sciences, Rishikesh, IND.
Basavaraj JatteppanvarInternal Medicine, All India Institute of Medical Sciences, Rishikesh, IND.
Prasan K PandaInternal Medicine, All India Institute of Medical Sciences, Rishikesh, IND.
Pathik DhangarInternal Medicine, All India Institute of Medical Sciences, Rishikesh, IND.
Yogesh A BahurupiCommunity and Family Medicine, All India Institute of Medical Sciences, Rishikesh, IND.
All India Institute of Medical Sciences Rishikesh · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction The post-discharge all-cause mortality of COVID-19 disease is known, but predictors for the same have not been studied as much. The objective of this study was to develop an understanding of predictors of mortality to guide in prioritizing patient care and preventive approaches. Methods This current research is a single-center unmatched case-control study conducted at a tertiary care center in northern India, between April and September 2022. The data were extracted retrospectively from the hospital's electronic medical records of patients with the assistance of trained physicians using a standardized data extraction sheet. Results A total of 184 patients were enrolled and were segregated into two groups, cases and control, with 92 in each. The mean age of patients was 49.3 ± 17.53 years. The mortality group had a higher mean age (53.24 ± 18.53 yrs) as compared to the control group (45.37 ± 15.58 yrs, p=0.002). Bivariate analysis revealed a significant difference in the two groups with respect to O

Indexed as

acute kidney injurycovid mortalityicu admissionpost-dischargerisk factors

Identifiers

PMID37128527
PMCPMC10147556
OpenAlexW4361294944

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.