Evidence map›Paper›PMID 42001356›Full record

ArticleDiscover oncology2026

Nitrogen fertilizer pollution and infant brain/CNS cancer.

Tanisha Joshi, Lauren Reimer, Jason Semprini

Abstract read
In one paragraph

Article in Discover oncology, 2026. 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

3 authors.

Tanisha JoshiDes Moines University, 8025 Grand Ave, West Des Moines, IA, 50266, USA.
Lauren ReimerUniversity of Iowa, IA, 52242, Iowa City, USA.
Jason SempriniDes Moines University, 8025 Grand Ave, West Des Moines, IA, 50266, USA. jsemprini@dmu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Essential for modern agriculture, nitrogen pollution through nitrate contaminated water has emerged as a public health concern. Research examining nitrate exposure and cancer risk across the life course has yielded inconsistent conclusions. However, despite biological plausibility and heightened vulnerability during gestation, the link between nitrogen pollution and Brain/Central Nervous System (CNS) cancer in infants remains underexplored. We conducted a population-based ecological analysis linking county-level nitrogen fertilizer application data (USGS) to 0-year-old infant Brain/CNS cancer incidence data (SEER-12, 1992–2012) and mortality data (NCHS, 1990–2012) in the United States. We constructed county-level panel datasets and estimated Generalized Estimating Equation probit models with population offsets, state-year fixed effects, and robust variance estimators. Nitrogen application was standardized, lagged, and modeled separately for incidence and mortality. Sensitivity analyses added a twice lagged nitrogen measure as an instrumental variable as a generalized structural equation model. We found that a county-level one–standard deviation increase in prior-year nitrogen application was associated with a 0.87 percentage-point increase in the probability of an infant Brain/CNS cancer diagnosis (p < 0.001), corresponding to a 13% relative increase, and a 0.53 percentage-point increase in the probability of infant Brain/CNS cancer death (p < 0.001), a 36% relative increase. Instrumental variable estimates were consistent. These findings reiterate that gestation remains a critical window of susceptibility, suggesting that nitrogen fertilizer pollution may contribute to rare but severe pediatric cancer outcomes. Future research establishing or quantifying causality, and understanding etiologic heterogeneity could inform policymaking and targeted public health interventions.

Identifiers

PMID42001356
PMCPMC13219530

What OpenQuestion holds

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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.