Evidence map›Paper›PMID 33107482›Full record

ArticleThe Indian journal of medical research2020

Immunological markers for identifying recent HIV infection in North-West India.

Chandar Kanta Chauhan, P V M Lakshmi, Vivek Sagar, Aman Sharma, Sunil K Arora, Rajesh Kumar

Abstract read
In one paragraph

Article in The Indian journal of medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
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  3. Article
  4. Article
  5. Review
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  7. Article
  8. Recent HIV infection testing algorithms.The Indian journal of medical research · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Chandar Kanta ChauhanDepartment of Community Medicine, School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
P V M LakshmiDepartment of Community Medicine, School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Vivek SagarDepartment of Community Medicine, School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Aman SharmaDepartment of Internal Medicine, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Sunil K AroraDepartment of Immunopathology, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Rajesh KumarDepartment of Community Medicine, School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives: Being more efficient and widely used, limiting antigen (LAg)-avidity enzyme immunoassay (EIA) based on the recent infection testing algorithm (RITA) has been developed for differentiating recent and established HIV-1 infection. So far, LAg-avidity EIA has not been validated among the Indian population. Hence, the present study was planned to identify recent HIV infections in high risk patients in the North-West region of India using modified LAg-avidity RITA. Methods: Four hundred HIV-positive high risk patients registered on pre-antiretroviral therapy (ART) programme in the last one year, from five ART centres in North-Western States of India, were included for identifying the recent HIV infections. One hundred HIV-positive cases registered for pre-ART for greater than two years in ART centres were included for estimating false recent rate (FRR). Single-well LAg-avidity EIA-based modified RITA was used to identify recent HIV infection cases. Results: Of the 400 HIV-1-positive samples, 64 (16%) were found to have been infected within the past 130 days. The proportion of recent HIV infections was 16.8 per cent (18/107) among female sex workers, 10.7 per cent (9/84) among men who have sex with men and 17.7 per cent (37/209) among injecting drug users. The FRR was one per cent (1/100). Interpretation & conclusions: LAg-avidity EIA-based modified RITA provided good discrimination between recent and non-recent HIV infection, hence, it could be considered suitable for estimating HIV incidence in sentinel surveillance system in India.

Indexed as

HIV InfectionsSexual and Gender MinoritiesSex WorkersFemaleHomosexuality, MaleHumansIncidenceIndiaMaleFalse recent ratehigh risk groupsHIVincidenceLAg-avidityRITA

Identifiers

PMID33107482
PMCPMC7881826

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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.