Evidence map›Paper›PMID 29141754›Full record

Trial reportThe American journal of tropical medicine and hygiene2017

Effectiveness of the Hydrogen Sulfide Test as a Water Quality Indicator for Diarrhea Risk in Rural Bangladesh.

Mahfuza Islam, Ayse Ercumen, Abu Mohd Naser, Leanne Unicomb, Mahbubur Rahman, Benjamin F Arnold, John M Colford, Stephen P Luby

Open access · bronzeAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in The American journal of tropical medicine and hygiene, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 84% of its field
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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 4 institutions in 2 countries.

Mahfuza IslamEnvironmental Intervention Unit, Enteric and Respiratory Infections Program, Infectious Disease Division, International Centre for Diarrheal Disease Research, Bangladesh (icddr,b).
Ayse ErcumenDivision of Epidemiology, School of Public Health, University of California, Berkeley, California.
Abu Mohd NaserDepartment of Environmental Health Sciences. Rollins School of Public Health, Emory University, Atlanta, Georgia.
Leanne UnicombEnvironmental Intervention Unit, Enteric and Respiratory Infections Program, Infectious Disease Division, International Centre for Diarrheal Disease Research, Bangladesh (icddr,b).
Mahbubur RahmanEnvironmental Intervention Unit, Enteric and Respiratory Infections Program, Infectious Disease Division, International Centre for Diarrheal Disease Research, Bangladesh (icddr,b).
Benjamin F ArnoldDivision of Epidemiology, School of Public Health, University of California, Berkeley, California.
John M ColfordDivision of Epidemiology, School of Public Health, University of California, Berkeley, California.
Stephen P LubyWoods Institute for the Environment, Stanford University, Stanford, California.
International Centre for Diarrhoeal Disease Research · BDUniversity of California, Berkeley · USEmory University · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbiological water quality is usually assessed by the identification of

Indexed as

Water QualityBangladeshChild, PreschoolColony Count, MicrobialDiarrheaDrinking WaterEscherichia coliFamily CharacteristicsFemaleFiltrationFollow-Up StudiesHumansHydrogen SulfideLongitudinal StudiesMalePrevalenceDrinking WaterHydrogen Sulfide

Identifiers

PMID29141754
PMCPMC5805062
OpenAlexW2766587632

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.