Evidence map›Paper›PMID 39734495›Full record

SynthesisBioMed research international2024

Detection of Vitiligo Through Machine Learning and Computer-Aided Techniques: A Systematic Review.

Sania Tanvir, Sidra Abid Syed, Samreen Hussain, Razia Zia, Munaf Rashid, Hira Zahid

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BioMed research international, 2024. 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
–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

4 citing papers in PubMed.

  1. Scoring Systems in Vitiligo-A Narrative Review.Indian dermatology online journal · 2026
    Article
  2. Vitiligo Information Resource database v3.NPJ systems biology and applications · 2026
    Article
  3. Article
  4. 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

6 authors.

Sania TanvirFaculty of Electrical and Computer Engineering, Biomedical Engineering Department, Sir Syed University of Engineering and Technology, Karachi, Pakistan.ORCID https://orcid.org/0000-0002-3094-0277
Sidra Abid SyedFaculty of Electrical and Computer Engineering, Biomedical Engineering Department, Sir Syed University of Engineering and Technology, Karachi, Pakistan.ORCID https://orcid.org/0000-0002-0647-8270
Samreen HussainElectronic Engineering Department, Faculty of Computer Systems Engineering, Electronic Engineering and Telecommunication Engineering, Dawood University of Engineering and Technology, Karachi, Pakistan.ORCID https://orcid.org/0000-0002-2189-2584
Razia ZiaFaculty of Computer and Electrical Engineering, Electrical Engineering Department, Sir Syed University of Engineering and Technology, Karachi, Pakistan.ORCID https://orcid.org/0000-0002-1654-5334
Munaf RashidDepartment of Software Engineering, Ziauddin University, Faculty of Engineering, Science, Technology and Management (ZUFESTM), Karachi, Pakistan.ORCID https://orcid.org/0000-0003-2063-4513
Hira ZahidDepartment of Biomedical Engineering, Ziauddin University, Faculty of Engineering, Science, Technology and Management (ZUFESTM), Karachi, Pakistan.ORCID https://orcid.org/0000-0002-0777-9614

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Diagnosis, Computer-AssistedMachine LearningVitiligoHumansdetectiondiagnosisimage segmentationmachine learningskin diseasesystematic reviewvitiligo

Identifiers

PMID39734495
PMCPMC11671642

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.