Evidence map›Paper›PMID 28534416›Full record

ArticleBiomarkers in medicine2017

Comparison of statistical methods for detection of serum lipid biomarkers for mesothelioma and asbestos exposure.

Rengyi Xu, Clementina Mesaros, Liwei Weng, Nathaniel W Snyder, Anil Vachani, Ian A Blair, Wei-Ting Hwang

Abstract readComparative Study
In one paragraph

Article in Biomarkers in medicine, 2017. 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

7 authors.

Rengyi XuPenn Superfund Research Program & Center of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6160, USA.
Clementina MesarosPenn Superfund Research Program & Center of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6160, USA.
Liwei WengPenn Superfund Research Program & Center of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6160, USA.
Nathaniel W SnyderAJ Drexel Autism Institute, Drexel University, Philadelphia, PA 19104, USA.
Anil VachaniPenn Superfund Research Program & Center of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6160, USA.
Ian A BlairPenn Superfund Research Program & Center of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6160, USA.
Wei-Ting HwangPenn Superfund Research Program & Center of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6160, USA.

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Rebecca A Simmons · 2006 to 2026
$35.3M
Environmental Science Project 3 - Social Determinants of Risk and Attitudes AboutP42ES023720 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI BLAIR, IAN ALEXANDER · 2014 to 2018
$11.3M
Translational Research Training Program in Environmental Health SciencesT32ES019851 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Kara A Bernstein, Trevor M Penning · 2012 to 2026
$6.0M
Prenatal biomarkers of exposure and individual susceptibility to endocrine disrupting compoundsK22ES026235 · NIEHS · DREXEL UNIVERSITY · PI SNYDER, NATHANIEL W. · 2016 to 2018
$485k
The influence of prenatal maternal exposures on fetal sterol metabolomicsR03CA211820 · NCI · DREXEL UNIVERSITY · PI SNYDER, NATHANIEL W. · 2016 to 2016
$157k
NCI NIH HHS P30 CA016520NCI NIH HHS R03 CA211820NIEHS NIH HHS K22 ES026235NIEHS NIH HHS P30 ES013508NIEHS NIH HHS P42 ES023720NIEHS NIH HHS T32 ES019851
6 · The paper itself

Abstract

aimWe compared three statistical methods in selecting a panel of serum lipid biomarkers for mesothelioma and asbestos exposure. MATERIALS &

methodsSerum samples from mesothelioma, asbestos-exposed subjects and controls (40 per group) were analyzed. Three variable selection methods were considered: top-ranked predictors from univariate model, stepwise and least absolute shrinkage and selection operator. Crossed-validated area under the receiver operating characteristic curve was used to compare the prediction performance.

resultsLipids with high crossed-validated area under the curve were identified. Lipid with mass-to-charge ratio of 372.31 was selected by all three methods comparing mesothelioma versus control. Lipids with mass-to-charge ratio of 1464.80 and 329.21 were selected by two models for asbestos exposure versus control.

conclusionDifferent methods selected a similar set of serum lipids. Combining candidate biomarkers can improve prediction.

Indexed as

AsbestosBiomarkers, TumorBlood Chemical AnalysisCase-Control StudiesEnvironmental ExposureHumansLipidsMesotheliomaStatistics as TopicAsbestosBiomarkers, TumorLipidsasbestos exposurebiomarkerLASSOmesotheliomaPCAstepwise regression

Identifiers

PMID28534416
PMCPMC5619144

What OpenQuestion holds

Textmetadata
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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.