Evidence map›Paper›PMID 38035730›Full record

ArticleBMJ global health2023

Using the network scale-up method to characterise kidney trafficking in Kalai Upazila, Bangladesh.

Meng-Hao Li, Yang Yu, Abu Bakkar Siddique, Narae Lee, Md Reazul Haque, Md Lutfay Tariq Rahman, Manzur Ahmad, Hadi El-Amine, Naoru Koizumi

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In one paragraph

Article in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

9 authors.

Meng-Hao LiSchar School of Policy and Government, George Mason University, Arlington, Virginia, USA mli11@gmu.edu nkoizumi@gmu.edu.ORCID 0000-0003-2051-3690
Yang YuSchar School of Policy and Government, George Mason University, Arlington, Virginia, USA.
Abu Bakkar SiddiqueSchool of Public Administration, Florida Atlantic University, Boca Raton, Florida, USA.ORCID 0000-0002-9964-7511
Narae LeeSchar School of Policy and Government, George Mason University, Arlington, Virginia, USA.
Md Reazul HaqueDepartment of Development Studies, University of Dhaka, Dhaka, Bangladesh.
Md Lutfay Tariq RahmanDepartment of Development Studies, University of Dhaka, Dhaka, Bangladesh.
Manzur AhmadBusiness Administration Department, EXIM Bank Agricultural University, Chapainawabgonj, Bangladesh.
Hadi El-AmineSystems Engineering and Operations Research Department, George Mason University, Fairfax, Virginia, USA.
Naoru KoizumiSchar School of Policy and Government, George Mason University, Arlington, Virginia, USA mli11@gmu.edu nkoizumi@gmu.edu.ORCID 0000-0001-8722-0898

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to estimate the prevalence of illegal kidney sales in Kalai Upazila, Bangladesh, using the Network Scale-Up Method (NSUM), an ego-centric network survey-based technique used to estimate the size of hidden populations. The study estimated the size of the kidney seller population, analysed the profiles of kidney sellers and kidney brokers and investigated the characteristics of villagers who are more likely to be connected to kidney sellers to identify possible biases of the NSUM estimate. The study found that the prevalence of kidney trafficking in Kalai Upazila was between 1.98% and 2.84%, which is consistent with the estimates provided by a local leader and reporters, but with much narrower bounds. The study also found that a large proportion of kidney sellers and brokers were men (over 70% and 90%, respectively) and relatively young (mean age of 33 and 39, respectively). Specific reasons for kidney sales included poverty (83%), loan payment (4%), drug addiction (2%) and gambling (2%). While most reported male sellers were farmers (56%) and female sellers were housewives (78%) in need of money, most reported brokers were characterised as rich, well-known individuals.

Indexed as

KidneyPovertyAdultBangladeshFemaleHumansMalePrevalenceSurveys and QuestionnairesTissue and Organ ProcurementCommunity-based surveyHealth policy

Identifiers

PMID38035730
PMCPMC10689364

What OpenQuestion holds

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LicenceCC BY-NC
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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.