Evidence map›Paper›PMID 27280293›Full record

ArticlePloS one2016

Spatio-Temporal History of HIV-1 CRF35_AD in Afghanistan and Iran.

Sana Eybpoosh, Abbas Bahrampour, Mohammad Karamouzian, Kayhan Azadmanesh, Fatemeh Jahanbakhsh, Ehsan Mostafavi, Farzaneh Zolala, Ali Akbar Haghdoost

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Article
  5. Article
  6. Epidemiology of malaria in saravan city and its suburbs from 2018 to 2023, Southeast Iran.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2024
    Article
  7. Review
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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

8 authors at 3 institutions in 2 countries.

Sana EybpooshRegional Knowledge Hub, and WHO Collaborating Centre for HIV Surveillance, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Abbas BahrampourModeling in Health Research Centre, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Mohammad KaramouzianSchool of Population and Public Health, Faculty of Medicine, University of British Colombia, Vancouver, BC, Canada.
Kayhan AzadmaneshVirology Department, Pasteur Institute of Iran, Tehran, Iran.
Fatemeh JahanbakhshVirology Department, Pasteur Institute of Iran, Tehran, Iran.
Ehsan MostafaviEpidemiology Department, Pasteur Institute of Iran, Tehran, Iran.
Farzaneh ZolalaModeling in Health Research Centre, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Ali Akbar HaghdoostRegional Knowledge Hub, and WHO Collaborating Centre for HIV Surveillance, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Kerman University of Medical Sciences · IRPasteur Institute of Iran · IRUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HIV-1 Circulating Recombinant Form 35_AD (CRF35_AD) has an important position in the epidemiological profile of Afghanistan and Iran. Despite the presence of this clade in Afghanistan and Iran for over a decade, our understanding of its origin and dissemination patterns is limited. In this study, we performed a Bayesian phylogeographic analysis to reconstruct the spatio-temporal dispersion pattern of this clade using eligible CRF35_AD gag and pol sequences available in the Los Alamos HIV database (432 sequences available from Iran, 16 sequences available from Afghanistan, and a single CRF35_AD-like pol sequence available from USA). Bayesian Markov Chain Monte Carlo algorithm was implemented in BEAST v1.8.1. Between-country dispersion rates were tested with Bayesian stochastic search variable selection method and were considered significant where Bayes factor values were greater than three. The findings suggested that CRF35_AD sequences were genetically similar to parental sequences from Kenya and Uganda, and to a set of subtype A1 sequences available from Afghan refugees living in Pakistan. Our results also showed that across all phylogenies, Afghan and Iranian CRF35_AD sequences formed a monophyletic cluster (posterior clade credibility> 0.7). The divergence date of this cluster was estimated to be between 1990 and 1992. Within this cluster, a bidirectional dispersion of the virus was observed across Afghanistan and Iran. We could not clearly identify if Afghanistan or Iran first established or received this epidemic, as the root location of this cluster could not be robustly estimated. Three CRF35_AD sequences from Afghan refugees living in Pakistan nested among Afghan and Iranian CRF35_AD branches. However, the CRF35_AD-like sequence available from USA diverged independently from Kenyan subtype A1 sequences, suggesting it not to be a true CRF35_AD lineage. Potential factors contributing to viral exchange between Afghanistan and Iran could be injection drug networks and mass migration of Afghan refugees and labours to Iran, which calls for extensive preventive efforts.

Indexed as

AfghanistanBayes TheoremDisease OutbreaksGenotypeHIV-1HIV InfectionsHumansIranMolecular EpidemiologyPhylogenyPrevalenceReassortant VirusesSubstance Abuse, Intravenous

Identifiers

PMID27280293
PMCPMC4900578
OpenAlexW2417113835

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.