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Record W4291144116 · doi:10.1097/jom.0000000000002666

Kidney Function in Factory Workers Exposed to Heat Stress

2022· article· en· W4291144116 on OpenAlexaff
Fabiana Baggio Nerbass, Louise Moist, Marcos Alexandre Vieira, Roberto Pecoits‐Filho

Bibliographic record

VenueJournal of Occupational and Environmental Medicine · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsWestern University
Fundersnot available
KeywordsCystatin CRenal functionCreatinineHeat stressMedicineKidneyInternal medicineUrologyBiologyAnimal science

Abstract

fetched live from OpenAlex

OBJECTIVES: The aims of the study are to re-evaluate kidney function in workers exposed and not exposed to heat stress after 2 years and to compare kidney function cross-shift using creatinine and cystatin C. METHODS: Participants were workers from a metallurgical industry. The clinical and biochemical markers of hydration and kidney function were evaluated before and after a single shift in work. RESULTS: We included 14 workers (6 in the heat group and 8 in the control group). The serum creatinine levels did not change during the follow-up period. Cross-shift, creatinine-based eGFR (estimated glomerular filtration rate) decreased, and cystatin C-based eGFR was maintained in the heat and control groups. CONCLUSIONS: Workers exposed to heat stress maintained their kidney function after a 2-year follow-up. Cystatin C is a better kidney function marker than creatinine for cross-shift assessments in this setting.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.054
GPT teacher head0.298
Teacher spread0.244 · 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

Citations7
Published2022
Admission routes1
Has abstractyes

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