Evidence map›Paper›PMID 27171166›Full record

SynthesisPLoS neglected tropical diseases2016

Socioeconomic Inequalities in Neglected Tropical Diseases: A Systematic Review.

Tanja A J Houweling, Henrike E Karim-Kos, Margarete C Kulik, Wilma A Stolk, Juanita A Haagsma, Edeltraud J Lenk, Jan Hendrik Richardus, Sake J de Vlas

Abstract readSystematic Review
In one paragraph

Synthesis in PLoS neglected tropical diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 9 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

88 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  7. Course of serological tests in treated subjects with chronic Trypanosoma cruzi infection: A systematic review and meta-analysis of individual participant data.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2018
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28 more citing papers are in PubMed but not listed here.

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

8 authors.

Tanja A J HouwelingDepartment of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Henrike E Karim-KosDepartment of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Margarete C KulikDepartment of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Wilma A StolkDepartment of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Juanita A HaagsmaDepartment of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Edeltraud J LenkInstitute of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Jan Hendrik RichardusDepartment of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Sake J de VlasDepartment of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeglected tropical diseases (NTDs) are generally assumed to be concentrated in poor populations, but evidence on this remains scattered. We describe within-country socioeconomic inequalities in nine NTDs listed in the London Declaration for intensified control and/or elimination: lymphatic filariasis (LF), onchocerciasis, schistosomiasis, soil-transmitted helminthiasis (STH), trachoma, Chagas' disease, human African trypanosomiasis (HAT), leprosy, and visceral leishmaniasis (VL). METHODOLOGY: We conducted a systematic literature review, including publications between 2004-2013 found in Embase, Medline (OvidSP), Cochrane Central, Web of Science, Popline, Lilacs, and Scielo. We included publications in international peer-reviewed journals on studies concerning the top 20 countries in terms of the burden of the NTD under study. PRINCIPAL

findingsWe identified 5,516 publications, of which 93 met the inclusion criteria. Of these, 59 papers reported substantial and statistically significant socioeconomic inequalities in NTD distribution, with higher odds of infection or disease among poor and less-educated people compared with better-off groups. The findings were mixed in 23 studies, and 11 studies showed no substantial or statistically significant inequality. Most information was available for STH, VL, schistosomiasis, and, to a lesser extent, for trachoma. For the other NTDs, evidence on their socioeconomic distribution was scarce. The magnitude of inequality varied, but often, the odds of infection or disease were twice as high among socioeconomically disadvantaged groups compared with better-off strata. Inequalities often took the form of a gradient, with higher odds of infection or disease each step down the socioeconomic hierarchy. Notwithstanding these inequalities, the prevalence of some NTDs was sometimes also high among better-off groups in some highly endemic areas.

conclusionsWhile recent evidence on socioeconomic inequalities is scarce for most individual NTDs, for some, there is considerable evidence of substantially higher odds of infection or disease among socioeconomically disadvantaged groups. NTD control activities as proposed in the London Declaration, when set up in a way that they reach the most in need, will benefit the poorest populations in poor countries.

Indexed as

Tropical MedicineChagas DiseaseChildElephantiasis, FilarialHumansLeishmaniasis, VisceralLeprosyNeglected DiseasesSchistosomiasisSocial ClassSoilSoil

Identifiers

PMID27171166
PMCPMC4865383

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.