Evidence map›Paper›PMID 41029093›Full record

ArticleMedicine2025

Association between blood lead and gastrointestinal cancers among US adults: A cross-sectional study based on NHANES 2003-2016.

Yanan Duan, Ye Yang, Rongguang Dang, Chao Dong

Abstract read
In one paragraph

Article in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Yanan DuanDepartment of Oncology, Shijiazhuang People's Hospital, Shijiazhuang, Hebei, China.ORCID 0009-0008-7435-7455
Ye Yang
Rongguang Dang
Chao Dong

Funding

Shijiazhuang Science and Technology Research and Development Project 211460923
6 · The paper itself

Abstract

Lead is a widespread environmental toxin known to cause various health issues, but its relationship with gastrointestinal (GI) cancers remains poorly understood. We aimed to investigate the association between blood lead levels and the prevalence of GI cancer in a representative sample of US adults. This cross-sectional study included 27,721 adults from the 2003-2016 National Health and Nutrition Examination Survey. Weighted multivariable logistic regression models, subgroup analysis, and restricted cubic spline regression were used to analyze the relationship between blood lead levels and GI cancer risk. GI cancer was identified based on self-reported physician diagnoses. Among participants, 251 individuals reported a GI cancer diagnosis. Higher blood lead levels were positively associated with GI cancer prevalence (fully adjusted odds ratio per unit increase: 1.11, 95% CI: 1.06-1.17, P < .001). Restricted cubic spline analysis demonstrated a nonlinear relationship, with a sharp increase in cancer risk at lower blood lead concentrations (2-3 µg/dL) and a plateau at higher levels. Subgroup analyses were conducted across sex, education level, alcohol intake, and poverty-income ratio. The positive association between blood lead and GI cancer was consistent across these strata, and no interaction remained significant after Benjamini-Hochberg correction (all q > 0.67). Blood lead concentration was positively associated with the prevalence of GI cancer in US adults. Even concentrations below current reference values may be associated with GI cancer, underscoring the need for prospective cohorts and mechanistic studies to clarify causality and to guide stricter exposure thresholds.

Indexed as

Gastrointestinal NeoplasmsLeadAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysPrevalenceRisk FactorsUnited StatesLeadblood leadenvironmental exposureepidemiologygastrointestinal cancerNHANESnutritional biomarkersrestricted cubic spline

Identifiers

PMID41029093
PMCPMC13593336

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.