Evidence map›Paper›PMID 39066173›Full record

ArticleViruses2024

Progress in Early Detection of HIV in Tajikistan.

Kamiar Alaei, Brian Kwan, Hamid R Torabzadeh, Adebimpe O Akinwalere, Sattorov S Saydamirovich, Gafur Mohsinzoda, Arash Alaei

Abstract read
In one paragraph

Article in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  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

7 authors.

Kamiar AlaeiHealth Science Department, College of Health and Human Services, California State University Long Beach, Long Beach, CA 90840, USA.
Brian KwanHealth Science Department, College of Health and Human Services, California State University Long Beach, Long Beach, CA 90840, USA.ORCID 0000-0002-5180-9219
Hamid R TorabzadehSchool of Public Health, Brown University, Providence, RI 02912, USA.
Adebimpe O AkinwalereHealth Science Department, College of Health and Human Services, California State University Long Beach, Long Beach, CA 90840, USA.
Sattorov S SaydamirovichTajikistan Ministry of Health and Social Protection of Population Republican AIDS Center, Dushanbe 734000, Tajikistan.
Gafur MohsinzodaTajikistan Ministry of Health and Social Protection of Population, Dushanbe 734000, Tajikistan.
Arash AlaeiHealth Science Department, College of Health and Human Services, California State University Long Beach, Long Beach, CA 90840, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HIV early detection (CD4 counts ≥350 cells/μL) is correlated with higher life expectancy among people living with HIV (PLHIV). Several factors, including physical, cultural, structural, and financial barriers, may limit early detection of HIV. This is a first-of-its-kind study on population-level differences in early detection of HIV across time within Tajikistan and any country in the Central Asia region. Utilizing the Tajikistan Ministry of Health's national HIV data (N = 10,700) spanning 2010 to 2023, we developed median regression models with the median CD4 cell count as the outcome and with the following predictors: time (years), region, age, gender, and area (urban/rural status). Individuals younger than 19 years old were detected early for HIV, whereas those older than 39 years were detected late. Females were detected earlier compared to their male counterparts regardless of region of residence. Rural populations were detected earlier in most years compared to their urban counterparts. The COVID-19 pandemic accelerated HIV early detection in 2021 but most regions have returned to near pre-pandemic levels of detection in 2022 and 2023. There were differences identified among different demographic and geographic groups which warrant further attention.

Indexed as

Early DiagnosisHIV InfectionsAdolescentAdultCD4 Lymphocyte CountCOVID-19FemaleHumansMaleMiddle AgedRural PopulationTajikistanUrban PopulationYoung Adultagecase studyCentral AsiaCOVID-19gender disparitiesHIV detectionHIV testingregional disparitiesrural areasTajikistan

Identifiers

PMID39066173
PMCPMC11281724

What OpenQuestion holds

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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.