Evidence map›Paper›PMID 35944452›Full record

ArticleEconomics and human biology2022

Heterogeneity in disease resistance and the impact of antibiotics in the US.

C Justin Cook, Jason M Fletcher

Abstract read
In one paragraph

Article in Economics and human biology, 2022. 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
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.

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

2 authors.

C Justin CookUniversity of California-Merced, United States. Electronic address: jcook9@ucmerced.edu.
Jason M FletcherUniversity of Wisconsin-Madison, United States. Electronic address: jfletcher@lafollette.wisc.edu.

Funding

Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
NIA NIH HHS P30 AG017266
6 · The paper itself

Abstract

We hypothesize that the impact of antibiotics is moderated by a population's inherent (genetic) resistance to infectious disease. Using the introduction of sulfa drugs in 1937, we show that US states that are more genetically susceptible to infectious disease saw larger declines in their bacterial mortality rates following the introduction of sulfa drugs in 1937. This suggests area-level genetic endowments of disease resistance and the discovery of medical technologies have acted as substitutes in determining levels of health across the US. We also document immediate effects of sulfa drug exposure to the age of the workforce and cumulative effects on educational attainment for cohorts exposed to sulfa drugs in early life.

Indexed as

Anti-Bacterial AgentsDisease ResistanceHumansAnti-Bacterial AgentsAntibioticsDifference-in-differencesGenetic DiversityGenetic ResistanceHuman CapitalInfectious disease

Identifiers

PMID35944452
PMCPMC9972546

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.