Evidence map›Paper›PMID 29933374›Full record

ArticlePloS one2018

Estimation of the duration between HIV seroconversion and HIV diagnosis in different population groups in French Guiana: Strategic information to reduce the proportion of undiagnosed infections.

Mathieu Nacher, Antoine Adenis, Florence Huber, Edouard Hallet, Philippe Abboud, Emilie Mosnier, Bastien Bideau, Christian Marty, Aude Lucarelli, Vanessa Morel and 3 more

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Observational
  10. Article
  11. Article
  12. 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

13 authors.

Mathieu NacherCentre d'Investigation Clinique Antilles Guyane, INSERM 1424, Centre Hospitalier de Cayenne, Cayenne, French Guiana.ORCID 0000-0001-9397-3204
Antoine AdenisCentre d'Investigation Clinique Antilles Guyane, INSERM 1424, Centre Hospitalier de Cayenne, Cayenne, French Guiana.
Florence HuberCOREVIH Guyane (Coordination de la lutte contre le VIH), Centre Hospitalier de Cayenne, Cayenne, French Guiana.
Edouard HalletCOREVIH Guyane (Coordination de la lutte contre le VIH), Centre Hospitalier de Cayenne, Cayenne, French Guiana.
Philippe AbboudDépartement des Maladies Infectieuses et Tropicales, Centre Hospitalier de Cayenne, Cayenne, French Guiana.
Emilie MosnierDépartement des centres délocalisés de prévention et de Soins, Centre Hospitalier de Cayenne, Cayenne, Cayenne, French Guiana.
Bastien BideauDépartement des centres délocalisés de prévention et de Soins, Centre Hospitalier de Cayenne, Cayenne, Cayenne, French Guiana.
Christian MartyCroix Rouge Française Centre Prévention Santé, Cayenne, French Guiana.
Aude LucarelliHôpital de Jour Adultes, Centre Hospitalier de Cayenne, Cayenne, French Guiana.
Vanessa MorelCOREVIH Guyane (Coordination de la lutte contre le VIH), Centre Hospitalier de Cayenne, Cayenne, French Guiana.
François LacapèreAgence Régionale de la Santé de Guyane, Cayenne, French Guiana.
Loïc EpelboinDépartement des Maladies Infectieuses et Tropicales, Centre Hospitalier de Cayenne, Cayenne, French Guiana.
Pierre CouppiéService de Dermatologie Vénéréologie, Centre Hospitalier de Cayenne, Cayenne, French Guiana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiven the great efforts put into the strategic objective of reducing the proportion of HIV-infected patients that are undiagnosed, the aim of the present study was to review the temporal trends between 1997 and 2016 for median estimates of infection duration and median CD4 count at diagnosis for the main patient origins in French Guiana.

methodsCD4 cell count at HIV sero-conversion and square root of CD4 cell decline were obtained using the CD4 decline in a cohort of HIV-infected persons in the UK, fitting random effect (slope and intercept) multilevel linear regression models. Multivariate analysis used robust regression for modeling the delay between estimated HIV seroconversion and diagnosis and quantile regression for CD4 at HIV diagnosis.

resultsThe median interval between the estimated HIV seroconversion and HIV diagnosis was 8 years for patients fromBrazil, 4.5 years for those from Haiti, 6.6 years for those from Suriname, 3.3 years for patients from Guyana, and 3.1 years for French patients. A simple robust regression model with French patients as reference group adjusting for sex and age at the time of diagnosis showed that the interval was significantly longer for Brazilian (β = +3.7 years, P = 0.001), Surinamese (β = +4.2 years, P<0.0001), Haitian origins (β = +1.5 years, P = 0.049) but not for those originating from Guyana (β = -0.03 years, P = 0.9); Men independently had a longer interval than women (β = +3.5 years, P<0.0001).

conclusionsDespite great efforts in French Guiana regarding HIV testing both in terms of diversification and intensification we still need to tailor the offer to better reach the communities in need. These results should help authorities scale up and optimize initiatives to reduce the proportion of patients who are unaware of their infection. They also raise the question of the role of stigma and discrimination as a barrier to HIV testing in small communities, and further emphasize the importance of reducing it.

Indexed as

CD4 Lymphocyte CountFemaleFrench GuianaHIV InfectionsHIV SeropositivityHumansMaleTime Factors

Identifiers

PMID29933374
PMCPMC6014655

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.