Evidence map›Paper›PMID 40897094›Full record

ArticleThe Science of the total environment2025

Factors predicting incidence of nontuberculous mycobacteria in an era of climate change and altered ecosystems in the United States.

Samantha J Bents, Collin Powell, Joshua P French, D Rebecca Prevots, Rachel A Mercaldo

Abstract read
In one paragraph

Article in The Science of the total environment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Understanding recurrence inJournal of clinical microbiology · 2026
    Review
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

5 authors.

Samantha J BentsEpidemiology and Population Studies Section (EPSS), Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA; Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.
Collin PowellEpidemiology and Population Studies Section (EPSS), Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Joshua P FrenchDepartment of Mathematical and Statistical Sciences, University of Colorado, Denver, CO, USA.
D Rebecca PrevotsEpidemiology and Population Studies Section (EPSS), Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Rachel A MercaldoEpidemiology and Population Studies Section (EPSS), Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA. Electronic address: rachel.mercaldo@nih.gov.

Funding

Intramural NIH HHS Z99 AI999999
6 · The paper itself

Abstract

backgroundNontuberculous mycobacteria (NTM) are ubiquitous environmental bacteria that cause chronic pulmonary disease. Incidence patterns have risen globally over the last several decades. Prior studies suggest that climate change may have a role in increasing incidence patterns.

methodsWe analyzed NTM incidence from two US-based populations: Medicare beneficiaries and persons with cystic fibrosis (pwCF). We identified predictors of NTM incidence with time-lagged meteorological and severe weather event covariates across US climate zones.

findingsThe average annual incidence of NTM was 30.4 per 100,000 for the Medicare population and 2071.4 per 100,000 pwCF, with both populations showing rising incidence over the study period. We found that several factors predicted NTM incidence risk for the Medicare population and pwCF. In the Southeastern US particularly, floods were predictors of NTM incidence risk and across the mid-latitude US, dust storms were predictors of incidence. Air pressure, cloud cover, precipitation, and the number of days above various temperature thresholds were consistent predictors of NTM incidence across climate zones. The lag time between predictive meteorological variation or weather events and NTM incidence varied by zone and population studied.

interpretationGeographic heterogeneity exists in the meteorological and severe event factors predictive of NTM incidence, evidenced by data from two high-risk study populations in the US. The role of continued climate change in the spatial and temporal distribution of NTM incidence merits further research.

Indexed as

Climate ChangeEcosystemMycobacterium Infections, NontuberculousNontuberculous MycobacteriaCystic FibrosisHumansIncidenceUnited StatesClimateNatural disastersNontuberculous mycobacteriaNTMWeather

Identifiers

PMID40897094
PMCPMC12482993

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LicenceCC BY-NC-ND
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Registered trials

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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.