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Record W4220660276 · doi:10.21203/rs.3.rs-1340643/v1

Associations between blood lead and urinary cadmium concentrations and all-cause and specific causes of mortality: estimating intervention effects using the parametric g-formula

2022· preprint· en· W4220660276 on OpenAlexaff
Nasser Laouali, Tarik Benmarhnia, Bruce P. Lanphear, Youssef Oulhote

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldEnvironmental Science
TopicHeavy Metal Exposure and Toxicity
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCadmiumLead (geology)Urinary systemIntervention (counseling)Parametric statisticsMedicineEnvironmental healthEconometricsStatisticsEnvironmental scienceChemistryInternal medicineMathematicsBiology

Abstract

fetched live from OpenAlex

Abstract Objective Previous studies in the US reported a high mortality risk associated with higher blood lead levels (BLLs) and urinary cadmium (UCd) levels. The aim of this study was to extend the follow-up of the previous analyses and use the parametric g-formula to estimate the 27-year risk of all-cause and specific causes of mortality. Methods We used data on 14,311 adults aged ≥ 20 years enrolled in the NHANES-III between 1988 and 1994 and followed up through Dec 31, 2015. Time and cause of death were determined from the National Death Index records. We used the parametric g-formula with pooled logistic regression models to estimate the relative and absolute risk of all-cause, cardiovascular, and cancer mortality under different potential threshold interventions on BPb and UCd concentrations. Results Median follow-up was 22.5 years, 5,167 (36%) participants died by the end of the study; 1,550 from cardiovascular disease and 1,135 from cancer. An increase of BLLs and creatinine corrected UCd from the 5th (0.70 µg/dL and 0.04 µg/g for BLLs and UCd ) to the 95th percentile (9.70 µg/dL and 1.63 µg/g for BLLs and UCd) was associated with an increased risk of all-cause by 138% (95% CI, 14 to 196) and a 126% (95% CI, 77 to 383). BLLs and UCd were associated with an increase of 109% (95% CI, 4 to 268) and 37% (95% CI, -0.20 to 239) in the risk of cardiovascular mortality when comparing the 5th to the 95th percentiles of exposure. The corresponding increase in risk for cancer mortality was 287% (95% CI, 12 to 691) and 144% (95% CI, -0.34 to 281) for BLLs and UCd, respectively. We found higher risk differences among men and older participants as compared to their counterparts. Conclusion Interventions to reduce historical exposures to lead and cadmium could have prevented several deaths, especially among individuals ≥ 50 years of age as well as in men.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.043
metaresearch head score (Gemma)0.084
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.230

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0430.084
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.010
Bibliometrics0.0020.001
Science and technology studies0.0000.002
Scholarly communication0.0010.001
Open science0.0030.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.172
GPT teacher head0.430
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

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