Evidence map›Paper›PMID 30568988›Full record

ArticleOpen forum infectious diseases2018

The Relationship Between Census Tract Poverty and Shiga Toxin-Producing

James L Hadler, Paula Clogher, Jennifer Huang, Tanya Libby, Alicia Cronquist, Siri Wilson, Patricia Ryan, Amy Saupe, Cyndy Nicholson, Suzanne McGuire and 3 more

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Acute Bacterial Gastroenteritis.Gastroenterology clinics of North America · 2021
    Review
  4. 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

13 authors at 9 institutions in 1 country.

James L HadlerEmerging Infections Program, Yale School of Public Health, New Haven, Connecticut.
Paula ClogherEmerging Infections Program, Yale School of Public Health, New Haven, Connecticut.
Jennifer HuangDivision of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.
Tanya LibbyCalifornia Emerging Infections Program, Oakland, California.
Alicia CronquistEmerging Infections Program, Colorado Department of Public Health and Environment, Denver, Colorado.
Siri WilsonEmerging Infections Program, Georgia Department of Public Health, Atlanta, Georgia.
Patricia RyanEmerging Infections Program, Maryland Department of Health, Baltimore, Maryland.
Amy SaupeEmerging Infections Program, Minnesota Department of Health, St Paul, Minnesota.
Cyndy NicholsonEmerging Infections Program, New Mexico Department of Health, Santa Fe, New Mexico.
Suzanne McGuireEmerging Infections Program, New York State Department of Health, Albany, New York.
Beletshachew ShiferawEmerging Infections Program, Oregon Health Authority, Portland, Oregon.
John DunnEmerging Infections Program, Tennessee Department of Health, Nashville, Tennessee.
Sharon HurdEmerging Infections Program, Yale School of Public Health, New Haven, Connecticut.
Colorado Department of Public Health and Environment · USGeorgia Department of Public Health · USMaryland Department of Health · USMinnesota Department of Health · USNew Mexico Department of Health · USNew York State Department of Health · USOregon Health Authority · USTennessee Department of Health · USWaterborne Environmental (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relationship between socioeconomic status and Shiga toxin-producing

methodsCase residential data were geocoded and linked to CTP level (2010-2014 American Community Survey). Relative rates were calculated comparing incidence in census tracts with <20% of residents below poverty with those with ≥20%. Relative rates of age-adjusted 5-year incidence per 100 000 population were determined for all STEC, hospitalized only and hemolytic-uremic syndrome (HUS) cases overall, by demographic features, FoodNet site, and surveillance year.

resultsThere were 5234 cases of STEC; 26.3% were hospitalized, and 5.9% had HUS. Five-year incidence was 10.9/100 000 population. Relative STEC rates for the <20% compared with the ≥20% CTP group were >1.0 for each age group, FoodNet site, surveillance year, and race/ethnic group except Asian. Relative hospitalization and HUS rates tended to be higher than their respective STEC relative rates.

conclusionsPersons living in lower CTP were at higher risk of STEC than those in the highest poverty census tracts. This is unlikely to be due to health care-seeking or diagnostic bias as it applies to analysis limited to hospitalized and HUS cases. Research is needed to better understand exposure differences between people living in the lower vs highest poverty-level census tracts to help direct prevention efforts.

Indexed as

census tractE. coliincidencepovertyShiga toxin

Identifiers

PMID30568988
PMCPMC6041751
OpenAlexW2809759528

What OpenQuestion holds

Textmetadata
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.