Evidence map›Paper›PMID 36600204›Full record

ReviewBiological research for nursing2023

Prediction Performance of Feature Selectors and Classifiers on Highly Dimensional Transcriptomic Data for Prediction of Weight Loss in Filipino Americans at Risk for Type 2 Diabetes.

Lisa Chang, Yoshimi Fukuoka, Bradley E Aouizerat, Li Zhang, Elena Flowers

Open access · greenAbstract readReview
In one paragraph

Review in Biological research for nursing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 1 country.

Lisa ChangDepartment of Physiological Nursing, University of California San Francisco, San Francisco, CA, USA.
Yoshimi FukuokaDepartment of Physiological Nursing, University of California San Francisco, San Francisco, CA, USA.
Bradley E AouizeratBluestone Center for Clinical Research, New York University, New York, NY, USA.
Li ZhangDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Elena FlowersDepartment of Physiological Nursing, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-7054-7533
University of California, San Francisco · USCenter for Clinical Research (United States) · US

Funding

Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
Applying Virtual Social Networking to Diabetes Prevention For Filipino AmericansR34DK102100 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BENDER, MELINDA SARMIENTO, FUKUOKA, YOSHIMI · 2014 to 2015
$474k
NCATS NIH HHS UL1 TR001872NIDDK NIH HHS R34 DK102100
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Diabetes Mellitus, Type 2TranscriptomeAlgorithmsAsianHumansWeight Lossfeature selectionmachine learningrisk predictiontranscriptomeweight loss

Identifiers

PMID36600204
PMCPMC10404908
OpenAlexW4313544837

What OpenQuestion holds

Textmetadata
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.