Evidence map›Paper›PMID 34364299›Full record

ArticleDiabetes & metabolic syndrome

Evaluation of the dose-effect association between the number of doses and duration since the last dose of COVID-19 vaccine, and its efficacy in preventing the disease and reducing disease severity: A single centre, cross-sectional analytical study from India.

Aakashneel Bhattacharya, Piyush Ranjan, Tamoghna Ghosh, Harsh Agarwal, Sukriti Seth, Ganesh Tarachand Maher, Ashish Datt Upadhyay, Arvind Kumar, Upendra Baitha, Gaurav Gupta and 3 more

Abstract read
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 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
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  5. Observational
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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

13 authors.

Aakashneel BhattacharyaDepartment of Medicine, All India Institute of Medical Sciences, New Delhi, India.
Piyush RanjanDepartment of Medicine, All India Institute of Medical Sciences, New Delhi, India. Electronic address: drpiyushdost@gmail.com.
Tamoghna GhoshAll India Institute of Medical Sciences, New Delhi, India.
Harsh AgarwalAll India Institute of Medical Sciences, New Delhi, India.
Sukriti SethDepartment of Medicine, All India Institute of Medical Sciences, New Delhi, India.
Ganesh Tarachand MaherDepartment of Medicine, All India Institute of Medical Sciences, New Delhi, India.
Ashish Datt UpadhyayDepartment of Biostatistics, All India Institute of Medical Sciences, New Delhi, India.
Arvind KumarDepartment of Medicine, All India Institute of Medical Sciences, New Delhi, India.
Upendra BaithaDepartment of Medicine, All India Institute of Medical Sciences, New Delhi, India.
Gaurav GuptaDepartment of Medicine, All India Institute of Medical Sciences, New Delhi, India.
Bindu PrakashDepartment of Medicine, All India Institute of Medical Sciences, New Delhi, India.
Sada Nand DwivediDepartment of Biostatistics, All India Institute of Medical Sciences, New Delhi, India.
Naveet WigDepartment of Medicine, All India Institute of Medical Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo evaluate the dose-effect association between COVID-19 vaccination and probability of turning RT-PCR positive and to assess the correlation between disease severity and vaccination status.

methodsA single centre cross-sectional study was conducted amongst 583 individuals presenting to COVID-19 testing clinic and 55 hospitalized COVID-19 patients. Vaccination status was assessed by the number of doses and duration since the last dose. Disease severity was evaluated by the requirement of hospitalisation and ICU admission/death. The association between the vaccination status and development of disease and its severity were statistically analyzed.

resultsThe mean age of the population was 36.6 years and 82.6% had no comorbidities. The odds of turning RT-PCR positive was 0.17(95% CI: 0.11-0.27) among the clinical suspects who had taken both doses of the vaccine at least 14 days before (fully vaccinated). The odds of hospitalisation was 0.12(95% CI: 0.03-0.45) and ICU admission/death was 0.07(95% CI: 0.01-0.36) among fully vaccinated individuals. The protective role of vaccination was observed to start 14 days after receiving the first dose.

conclusionsCOVID-19 vaccination provides dose-dependent protection against the development of the disease. It also lowers the risk of hospitalisation and ICU admission/death in RT-PCR positive patients in a dose-dependent manner.

Indexed as

AdultCOVID-19COVID-19 TestingCOVID-19 VaccinesCross-Sectional StudiesDose-Response Relationship, DrugDrug Administration ScheduleFemaleHospitalizationHumansImmunization ScheduleIndiaMaleMiddle AgedSeverity of Illness IndexTime FactorsCOVID-19 VaccinesCovaxinCovishieldProtective efficacyRT-PCRVaccination

Identifiers

PMID34364299
PMCPMC8321688

What OpenQuestion holds

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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.