Evidence map›Paper›PMID 30598930›Full record

ArticleJournal of family medicine and primary care

HIV/AIDS epidemic in West Bengal: An overview.

Suman Ganguly, Debjit Chakraborty, Dipendra Narayan Goswami

Abstract read
In one paragraph

Article in Journal of family medicine and primary care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Trial
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

3 authors.

Suman GangulyWest Bengal State AIDS Prevention and Control Society, Kolkata, West Bengal, India.
Debjit ChakrabortyNational Centre for Disease Informatics and Research, ICMR, Bengaluru, Karnataka, India.
Dipendra Narayan GoswamiDepartment of Community Medicine, Calcutta National Medical College, Kolkata, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWest Bengal is a low-prevalent state with high vulnerability for HIV. The state bears around 6% of HIV burden of India. With consistent effort on preventive, diagnostic, and curative services under National AIDS Control Program, HIV prevalence is gradually coming down. Our study objective is to determine the trend of HIV positivity among different groups/population attending Integrated Counseling and Testing Centres (ICTCs) over a period of 8 years and identify the group of population needing special attention.

methodsThe study was conducted with available program data year-wise from 2008-2009 to 2014-2015 among different groups of population who attended ICTCs for HIV testing. Year-wise positivity was calculated and trend analysis was performed by linear regression method keeping year as regressor. Similar methodology was applied for different typologies among the high-risk groups (HRGs) and trend analysis was done using linear regression for the study period from 2012-2013 to 2014-2015.

resultsHIV positivity among general male and non-pregnant individuals, HRG population, transgender (TG) population, and pregnant women showed a significant declining trend over the past 8 financial years, but the discordance rate remained almost the same. Regarding HIV positivity trend among different typologies of HRGs, trucker group showed a significant increase in HIV positivity over the past 3 years, whereas HIV positivity among other groups like female sex workers, men having sex with men, injecting drug users, and migrant labors did not undergo significant changes over the past 3 years.

conclusionHIV-preventive services among truckers need to be emphasized. HIV screening services among the TG population should be further scaled up through more number of targeted interventions.

Indexed as

High-risk groupsHIV positivityICTCtrend

Identifiers

PMID30598930
PMCPMC6259504

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Registered trials

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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.