Evidence map›Paper›PMID 37884570›Full record

ArticleScientific reports2023

Identification of PCB congeners and their thresholds associated with diabetes using decision tree analysis.

Tuo Lan, Buyun Liu, Wei Bao, Peter S Thorne

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Tuo LanDepartment of Occupational and Environmental Health, College of Public Health, University of Iowa, Iowa City, IA, USA.
Buyun LiuDivision of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
Wei BaoDivision of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
Peter S ThorneDepartment of Occupational and Environmental Health, College of Public Health, University of Iowa, Iowa City, IA, USA. peter-thorne@uiowa.edu.ORCID http://orcid.org/0000-0002-5045-0929
University of Iowa · USUniversity of Science and Technology of China · CN

Funding

Training CoreP42ES013661 · NIEHS · UNIVERSITY OF IOWA · PI HANS-JOACHIM LEHMLER · 2006 to 2026
$60.3M
Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Jong Sung Kim · 1990 to 2026
$40.5M
Vector Core-Core 2P30DK054759 · NIDDK · UNIVERSITY OF IOWA · PI Alejandro Antonio Pezzulo · 1998 to 2026
$30.5M
NIDDK NIH HHS P30 DK054759NIEHS NIH HHS P30 ES005605NIEHS NIH HHS P42 ES013661
6 · The paper itself

Abstract

Few studies have investigated the potential combined effects of multiple PCB congeners on diabetes. To address this gap, we used data from 1244 adults in the National Health and Nutrition Examination Survey (NHANES) 2003-2004. We used (1) classification trees to identify serum PCB congeners and their thresholds associated with diabetes; and (2) logistic regression to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) of diabetes with combined PCB congeners. Of the 40 PCB congeners examined, PCB 126 has the strongest association with diabetes. The adjusted OR of diabetes comparing PCB 126 > 0.025 to ≤ 0.025 ng/g was 2.14 (95% CI 1.30-3.53). In the subpopulation with PCB 126 > 0.025 ng/g, a lower PCB 101 concentration was associated with an increased risk of diabetes (comparing PCB 101 < 0.72 to ≥ 0.72 ng/g, OR 3.3, 95% CI 1.27-8.55). In the subpopulation with PCB 126 > 0.025 & PCB 101 < 0.72 ng/g, a higher PCB 49 concentration was associated with an increased risk of diabetes (comparing PCB 49 > 0.65 to ≤ 0.65 ng/g, OR 2.79, 95% CI 1.06-7.35). This nationally representative study provided new insights into the combined associations of PCBs with diabetes.

Indexed as

Diabetes MellitusEnvironmental PollutantsPolychlorinated BiphenylsAdultDecision TreesHumansNutrition Surveys2,4,5,2',5'-pentachlorobiphenyl3,4,5,3',4'-pentachlorobiphenylEnvironmental PollutantsPolychlorinated Biphenyls

Identifiers

PMID37884570
PMCPMC10603165
OpenAlexW4387958317

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.