Evidence map›Paper›PMID 27897226›Full record

Observational studyScientific reports2016

Viral and Host Characteristics of Recent and Established HIV-1 Infections in Kisumu based on a Multiassay Approach.

Newton Otecko, Seth Inzaule, Collins Odhiambo, George Otieno, Valarie Opollo, Alex Morwabe, Kennedy Were, Kenneth Ndiege, Fredrick Otieno, Andrea A Kim and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 38% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Observational
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

11 authors at 2 institutions in 1 country.

Newton OteckoKenya Medical Research Institute/U.S. CDC Research and Public Health Collaboration (KEMRI/CDC) and KEMRI Center for Global Health Research, Kisumu, Kenya.
Seth InzauleKenya Medical Research Institute/U.S. CDC Research and Public Health Collaboration (KEMRI/CDC) and KEMRI Center for Global Health Research, Kisumu, Kenya.
Collins OdhiamboKenya Medical Research Institute/U.S. CDC Research and Public Health Collaboration (KEMRI/CDC) and KEMRI Center for Global Health Research, Kisumu, Kenya.
George OtienoKenya Medical Research Institute/U.S. CDC Research and Public Health Collaboration (KEMRI/CDC) and KEMRI Center for Global Health Research, Kisumu, Kenya.
Valarie OpolloKenya Medical Research Institute/U.S. CDC Research and Public Health Collaboration (KEMRI/CDC) and KEMRI Center for Global Health Research, Kisumu, Kenya.
Alex MorwabeKenya Medical Research Institute/U.S. CDC Research and Public Health Collaboration (KEMRI/CDC) and KEMRI Center for Global Health Research, Kisumu, Kenya.
Kennedy WereKenya Medical Research Institute/U.S. CDC Research and Public Health Collaboration (KEMRI/CDC) and KEMRI Center for Global Health Research, Kisumu, Kenya.
Kenneth NdiegeKenya Medical Research Institute/U.S. CDC Research and Public Health Collaboration (KEMRI/CDC) and KEMRI Center for Global Health Research, Kisumu, Kenya.
Fredrick OtienoKenya Medical Research Institute/U.S. CDC Research and Public Health Collaboration (KEMRI/CDC) and KEMRI Center for Global Health Research, Kisumu, Kenya.
Andrea A KimU.S. Centers for Disease Control and Prevention (CDC-Kenya, Division of HIV/AIDS Prevention) and the KEMRI/CDC Research and Public Health Collaboration, Kisumu, Kenya.
Clement ZehU.S. Centers for Disease Control and Prevention (CDC-Kenya, Division of HIV/AIDS Prevention) and the KEMRI/CDC Research and Public Health Collaboration, Kisumu, Kenya.
Kenya Medical Research Institute · KECenters for Disease Control and Prevention · KE

Funding

CDC HHS
6 · The paper itself

Abstract

Integrated approaches provide better understanding of HIV/AIDS epidemics. We optimised a multiassay algorithm (MAA) and assessed HIV incidence, correlates of recent infections, viral diversity, plus transmission clusters among participants screened for Kisumu Incidence Cohort Study (KICoS1) (2007-2009). We performed BED-CEIA, Limiting antigen (LAg) avidity, Biorad avidity, and viral load (VL) tests on HIV-positive samples. Genotypic analyses focused on HIV-1 pol gene. Correlates of testing recent by MAA were assessed using logistic regression model. Overall, 133 (12%, 95% CI: 10.2-14.1) participants were HIV-positive, of whom 11 tested recent by MAA (BED-CEIA OD-n < 0.8 + LAg avidity OD-n < 1.5 + VL > 1000 copies/mL), giving an incidence of 1.46% (95% CI: 0.58-2.35) per year. This MAA-based incidence was similar to longitudinal KICoS1 incidence. Correlates of testing recent included sexually transmitted infection (STI) treatment history (OR = 3.94, 95% CI: 1.03-15.07) and syphilis seropositivity (OR = 10.15, 95% CI: 1.51-68.22). Overall, HIV-1 subtype A (63%), D (15%), C (3%), G (1%) and recombinants (18%), two monophyletic dyads and intrinsic viral mutations (V81I, V81I/V, V108I/V and K101Q) were observed. Viral diversity mirrored known patterns in this region, while resistance mutations reflected likely non-exposure to antiretroviral drugs. Management of STIs may help address ongoing HIV transmission in this region.

Indexed as

Serologic TestsAdolescentAdultAlgorithmsFemaleHIV-1HIV AntibodiesHIV InfectionsHIV SeropositivityHumansKenyaLongitudinal StudiesMaleProspective StudiesYoung AdultHIV Antibodies

Identifiers

PMID27897226
PMCPMC5126579
OpenAlexW2558283704

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.