Evidence map›Paper›PMID 16882525›Full record

Trial reportEnvironmental health perspectives2006

Inferences drawn from a risk assessment compared directly with a randomized trial of a home drinking water intervention.

Joseph N S Eisenberg, Alan Hubbard, Timothy J Wade, Matthew D Sylvester, Mark W LeChevallier, Deborah A Levy, John M Colford

Open access · diamondAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Environmental health perspectives, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Interventions to improve water quality for preventing diarrhoea.The Cochrane database of systematic reviews · 2015
    Pooled it
  3. Trial
  4. Review
  5. 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

7 authors at 5 institutions in 1 country.

Joseph N S EisenbergDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan 48104, USA. jnse@umich.edu
Alan Hubbard
Timothy J Wade
Matthew D Sylvester
Mark W LeChevallier
Deborah A Levy
John M Colford
Center for Environmental Health · USAmerican Water Works Association · USCenters for Disease Control and Prevention · USEnvironmental Protection Agency · USUniversity of Michigan · US

Funding

PHS HHS U50/CCU916961
6 · The paper itself

Abstract

Risk assessments and intervention trials have been used by the U.S. Environmental Protection Agency to estimate drinking water health risks. Seldom are both methods used concurrently. Between 2001 and 2003, illness data from a trial were collected simultaneously with exposure data, providing a unique opportunity to compare direct risk estimates of waterborne disease from the intervention trial with indirect estimates from a risk assessment. Comparing the group with water treatment (active) with that without water treatment (sham), the estimated annual attributable disease rate (cases per 10,000 persons per year) from the trial provided no evidence of a significantly elevated drinking water risk [attributable risk=-365 cases/year, sham minus active; 95% confidence interval (CI) , -2,555 to 1,825]. The predicted mean rate of disease per 10,000 persons per person-year from the risk assessment was 13.9 (2.5, 97.5 percentiles: 1.6, 37.7) assuming 4 log removal due to viral disinfection and 5.5 (2.5, 97.5 percentiles: 1.4, 19.2) assuming 6 log removal. Risk assessments are important under conditions of low risk when estimates are difficult to attain from trials. In particular, this assessment pointed toward the importance of attaining site-specific treatment data and the clear need for a better understanding of viral removal by disinfection. Trials provide direct risk estimates, and the upper confidence limit estimates, even if not statistically significant, are informative about possible upper estimates of likely risk. These differences suggest that conclusions about waterborne disease risk may be strengthened by the joint use of these two approaches. Key words: drinking water, gastrointestinal, intervention trial, microbial risk assessment, waterborne pathogens.

Indexed as

Water MicrobiologyAlgorithmsAnimalsCryptosporidiumDisinfectionFiltrationGiardiaHumansInfectionsIowaModels, BiologicalRisk AssessmentVirusesWater Supply

Identifiers

PMID16882525
PMCPMC1551992
OpenAlexW2133291670

What OpenQuestion holds

Textmetadata
LicenceCC0
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.