Evidence map›Paper›PMID 35183203›Full record

ArticleAIDS research and therapy2022

Summarizing methods for estimating population size for key populations: a global scoping review for human immunodeficiency virus research.

Chen Xu, Fengshi Jing, Ying Lu, Yuxin Ni, Joseph Tucker, Dan Wu, Yi Zhou, Jason Ong, Qingpeng Zhang, Weiming Tang

Abstract readScoping Review
In one paragraph

Article in AIDS research and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Chen Xu *Medical Record Information Section, Yantai Yuhuangding Hospital, 264000, Shandong, China.
Fengshi Jing *University of North Carolina Project-China, No. 7, Lujing Road, Yuexiu District, Guangzhou, 510095, China.
Ying LuUniversity of North Carolina Project-China, No. 7, Lujing Road, Yuexiu District, Guangzhou, 510095, China.
Yuxin NiUniversity of North Carolina Project-China, No. 7, Lujing Road, Yuexiu District, Guangzhou, 510095, China.
Joseph TuckerUniversity of North Carolina Project-China, No. 7, Lujing Road, Yuexiu District, Guangzhou, 510095, China.
Dan WuUniversity of North Carolina Project-China, No. 7, Lujing Road, Yuexiu District, Guangzhou, 510095, China.
Yi ZhouZhuhai Center for Diseases Control and Prevention, Zhuhai, China.
Jason OngFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Qingpeng ZhangSchool of Data Science, City University of Hong Kong, No. 83 Tat Chee Avenue, Kowloon Tong, Kowloon, Hong Kong SAR, China. qingpeng.zhang@cityu.edu.hk.
Weiming TangUniversity of North Carolina Project-China, No. 7, Lujing Road, Yuexiu District, Guangzhou, 510095, China. Weiming_tang@med.unc.edu.ORCID 0000-0002-9026-707X

Funding

Mentoring Multidisciplinary Global HIV Patient-Oriented ResearchK24AI143471 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Joseph David Tucker · 2019 to 2026
$1.4M
Development of an HIV Self-testing Intervention to Reduce HIV risks among MSM: Taking the Guess Out of SeroguessingR34MH109359 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WEI, CHONGYI · 2016 to 2018
$726k
Enhancing Partner Services among Men Who Have Sex with Men Living With HIV: A Pilot Randomized Controlled TrialR34MH119963 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TANG, WEIMING, TUCKER, JOSEPH DAVID · 2019 to 2021
$568k
foundation for the national institutes of health NIAID K24AI143471foundation for the national institutes of health R34MH109359NIAID NIH HHS K24 AI143471NIMH NIH HHS R34 MH109359NIMH NIH HHS R34 MH119963
6 · The paper itself

Abstract

backgroundEstimating the population sizes of key populations(people who inject drugs, men who have sex with men, transgender persons, and commercial sex workers) is critical for understanding the overall Human Immunodeficiency Virus burden. This scoping review aims to synthesize existing methods for population size estimation among key populations, and provide recommendations for future application of the existing methods.

methodsRelevant studies published from 1st January 2000 to 4th August 2020 and related to key population size estimation were retrieved and 120 of 688 studies were assessed. After reading the full texts, 81 studies were further excluded. Therefore, 39 studies were included in this scoping review. Estimation methods included five digital methods, one in-person method, and four hybrid methods. FINDING: We summarized and organized the methods for population size estimateion into the following five categories: methods based on independent samples (including capture-recapture method and multiplier method), methods based on population counting (including Delphi method and mapping method), methods based on the official report (including workbook method), methods based on social network (including respondent-driven sampling method and network scale-up method) and methods based on data-driven technologies (Bayesian estimation method, Stochastic simulation method, and Laska, Meisner, and Siegel estimation method). Thirty-six (92%) articles were published after 2010 and 23 (59%) used multiple methods. Among the articles published after 2010, 11 in high-income countries and 28 in low-income countries. A total of 10 estimated the size of commercial sex workers, 14 focused on men who have sex with men, and 10 focused on people who inject drugs.

conclusionsThere was no gold standard for population size estimation. Among 120 studies that were related to population size estimation of key populations, the most commonly used population estimation method is the multiplier method (26/120 studies). Every method has its strengths and biases. In recent years, novel methods based on data-driven technologies such as Bayesian estimation have been developed and applied in many surveys.

Indexed as

HIV InfectionsSexual and Gender MinoritiesBayes TheoremHIVHomosexuality, MaleHumansMalePopulation DensityHIVKey populationPopulation size estimationScoping review

Identifiers

PMID35183203
PMCPMC8858560

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.