Evidence map›Paper›PMID 42882228›Full record

ArticleDiagnostics (Basel, Switzerland)2026

Non-Invasive Prediction of Metabolic Syndrome Using Explainable Machine Learning.

Islam A Berdaweel, Sayer I Al-Azzam, Ghaith Al-Taani, Amal Albawaana, Salam Shannag, Ameera M Bataineh, Sireen Abdul Rahim Shilbayeh, Amjed Al Fahoum

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2026. 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
–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

0 citing papers in PubMed.

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

8 authors.

Islam A BerdaweelDepartment of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Yarmouk University, Irbid 21163, Jordan.ORCID 0009-0006-2987-458X
Sayer I Al-AzzamDepartment of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid 22110, Jordan.
Ghaith Al-TaaniDepartment of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Yarmouk University, Irbid 21163, Jordan.
Amal AlbawaanaFaculty of Pharmacy, Department of Medicinal Chemistry and Pharmacognosy, Yarmouk University, Irbid 21163, Jordan.ORCID 0009-0005-9585-6577
Salam ShannagDepartment of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Yarmouk University, Irbid 21163, Jordan.ORCID 0000-0002-4338-2163
Ameera M BatainehIndependent Researcher, Irbid 21110, Jordan.
Sireen Abdul Rahim ShilbayehDepartment of Pharmacy Practice, Pharmacy college, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.ORCID 0000-0002-5020-6838
Amjed Al FahoumBiomedical Systems and Informatics Engineering Department, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid 21163, Jordan.ORCID 0000-0001-5190-3048

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

explainable artificial intelligence (XAI)machine learningmetabolic syndromenon-invasive screeningpredictive modelingShapley Additive Explanations

Identifiers

PMID42882228
PMCPMC13663970

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.