Evidence map›Paper›PMID 32954081›Full record

ArticleKidney international reports2020

Creatinine Fluctuations Forecast Cross-Harvest Kidney Function Decline Among Sugarcane Workers in Guatemala.

Miranda Dally, Jaime Butler-Dawson, Richard J Johnson, Lyndsay Krisher, Diana Jaramillo, Kira L Newman, Lee S Newman

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

15 citing papers in PubMed, 24 citations in OpenAlex.

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  8. Longitudinal Renal Function Degradation Among Florida Agricultural Workers.Journal of occupational and environmental medicine · 2024
    Article
  9. Article
  10. Prevalence of kidney disease of unknown etiology in agricultural workers, Guatemala.Revista panamericana de salud publica = Pan American journal of public health · 2023
    Article
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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

7 authors at 3 institutions in 1 country.

Miranda DallyCenter for Health, Work, & Environment, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Jaime Butler-DawsonCenter for Health, Work, & Environment, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Richard J JohnsonDivision of Renal Diseases and Hypertension, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Lyndsay KrisherCenter for Health, Work, & Environment, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Diana JaramilloCenter for Health, Work, & Environment, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Kira L NewmanInternal Medicine Residency Program, University of Washington, Seattle, Washington, USA.
Lee S NewmanCenter for Health, Work, & Environment, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Colorado School of Public Health · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Washington · US

Funding

PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Wendy M Kohrt · 1995 to 2026
$32.6M
Etiologic and Mechanistic Factors Underlying Chronic Kidney Disease in Guatemalan Sugarcane WorkersR21ES028826 · NIEHS · UNIVERSITY OF COLORADO DENVER · PI NEWMAN, LEE S · 2018 to 2019
$505k
NIDDK NIH HHS P30 DK048520NIEHS NIH HHS R21 ES028826
6 · The paper itself

Abstract

backgroundChronic kidney disease of unknown origin (CKDu) is an epidemic that disproportionately affects young agriculture workers in hot regions. It has been hypothesized that repeated acute kidney injury (AKI) may play a role in the development of disease.

methodsLatent class mixed models were used to identify groups of Guatemalan sugarcane harvesters based on their daily changes in creatinine over 6 consecutive days in 2018. Exponential smoothing state space models were used to forecast end-of-season creatinine between the identified groups. Percent change in estimated glomerular filtration rate (eGFR) across the harvest was compared between groups.

resultsTwenty-nine percent (n = 30) of the 103 workers experienced repeated severe fluctuations in creatinine across shift. The model with multiplicative error, multiplicative trend, and multiplicative seasonality was able to accurately forecast end-of-season creatinine in the severe group (mean percentage error [MPE]: -4.7%). eGFR of workers in the severe group on average decreased 20% across season compared to 11% decline for those in the moderate group (95% confidence interval for difference: -17% to 0%).

conclusionsDaily fluctuations in creatinine can be used to forecast end-of-season creatinine in sugarcane harvesters. Workers who experience repeat severe daily fluctuations in creatinine, on average, experience a greater reduction in kidney function across the season.

Indexed as

agricultural workersAKIchronic kidney disease of unknown originforecastingkidney function declineoccupational health

Identifiers

PMID32954081
PMCPMC7486184
OpenAlexW3040881843

What OpenQuestion holds

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LicenceCC BY
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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.