Evidence map›Paper›PMID 29794601›Full record

ArticleMedicine2018

HIV, HCV, HBV, and syphilis among transgender women from Brazil: Assessing different methods to adjust infection rates of a hard-to-reach, sparse population.

Francisco I Bastos, Leonardo Soares Bastos, Carolina Coutinho, Lidiane Toledo, Jurema Corrêa Mota, Carlos Augusto Velasco-de-Castro, Sandro Sperandei, Sandra Brignol, Tamiris Severino Travassos, Camila Mattos Dos Santos and 2 more

Abstract read
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
–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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Article
  8. Mapping of the trans population in the Baixada Santista region, Brazil, 2023: a descriptive study.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Prevalence of syphilis in transgender women and travestis in Brazil: results from a national cross-sectional study.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024
    Article
  13. Observational
  14. Article
  15. Article
  16. Article
  17. Difficulties and advances in access to and use of health services by transgender women and travestis in Brazil.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024
    Article
  18. Article
  19. Article
  20. 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

12 authors.

Francisco I BastosInstitute of Communication and Information on Science and Technology in Health Scientific Computing Program Department of Clinical Pathology, National Institute of Women, Child and Adolescent Health Fernandes Figueira, Oswaldo Cruz Foundation, Rio de Janeiro Department of Epidemiology and Biostatistics, Institute of Collective Health, Fluminense Federal University, Niterói Social Science Department, National School of Public Health, Fiocruz, Rio de Janeiro, Brazil Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore MD.
Leonardo Soares Bastos
Carolina Coutinho
Lidiane Toledo
Jurema Corrêa Mota
Carlos Augusto Velasco-de-Castro
Sandro Sperandei
Sandra Brignol
Tamiris Severino Travassos
Camila Mattos Dos Santos
Monica Siqueira Malta
“Divas Research Group”

Funding

VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI David Mitchell Smith · 1994 to 2026
$78.4M
NIAID NIH HHS P30 AI036214
6 · The paper itself

Abstract

Different sampling strategies, analytic alternatives, and estimators have been proposed to better assess the characteristics of different hard-to-reach populations and their respective infection rates (as well as their sociodemographic characteristics, associated harms, and needs) in the context of studies based on respondent-driven sampling (RDS). Despite several methodological advances and hundreds of empirical studies implemented worldwide, some inchoate findings and methodological challenges remain. The in-depth assessment of the local structure of networks and the performance of the available estimators are particularly relevant when the target populations are sparse and highly stigmatized. In such populations, bottlenecks as well as other sources of biases (for instance, due to homophily and/or too sparse or fragmented groups of individuals) may be frequent, affecting the estimates.In the present study, data were derived from a cross-sectional, multicity RDS study, carried out in 12 Brazilian cities with transgender women (TGW). Overall, infection rates for HIV and syphilis were very high, with some variation between different cities. Notwithstanding, findings are of great concern, considering the fact that female TGW are not only very hard-to-reach but also face deeply-entrenched prejudice and have been out of the reach of most therapeutic and preventive programs and projects.We cross-compared findings adjusted using 2 estimators (the classic estimator usually known as estimator II, originally proposed by Volz and Heckathorn) and a brand new strategy to adjust data generated by RDS, partially based on Bayesian statistics, called for the sake of this paper, the RDS-B estimator. Adjusted prevalence was cross-compared with estimates generated by non-weighted analyses, using what has been called by us a naïve estimator or rough estimates.

Indexed as

AdultBayes TheoremBiasBrazilCross-Sectional StudiesFemaleHepatitis BHepatitis CHIV InfectionsHumansMaleMass ScreeningPrevalenceSyphilisTransgender Persons

Identifiers

PMID29794601
PMCPMC5991532

What OpenQuestion holds

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LicenceCC BY-ND
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.