Evidence map›Paper›PMID 36803463›Full record

ArticleBMC medical informatics and decision making2023

Development of machine learning models for detection of vision threatening Behçet's disease (BD) using Egyptian College of Rheumatology (ECR)-BD cohort.

Nevin Hammam, Ali Bakhiet, Eiman Abd El-Latif, Iman I El-Gazzar, Nermeen Samy, Rasha A Abdel Noor, Emad El-Shebeiny, Amany R El-Najjar, Nahla N Eesa, Mohamed N Salem and 25 more

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In one paragraph

Article in BMC medical informatics and decision making, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
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

35 authors.

Nevin HammamDepartment of Rheumatology and Rehabilitation, Faculty of Medicine, Assiut University, Assiut, Egypt. nevin.hammam@gmail.com.
Ali BakhietComputer Science Department, Higher Institute of Computer Science and Information Systems, Culture and Science City, Giza, Egypt.
Eiman Abd El-LatifOphthalmology Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Iman I El-GazzarRheumatology Department, Faculty of Medicine, Cairo University, Cairo, Egypt.
Nermeen SamyRheumatology Unit, Internal Medicine Department, Faculty of Medicine, Ain-Shams University, Cairo, Egypt.
Rasha A Abdel NoorRheumatology Unit, Internal Medicine Department, Tanta University, Gharbia, Egypt.
Emad El-ShebeinyRheumatology Unit, Internal Medicine Department, Menoufia University, Menoufia, Egypt.
Amany R El-NajjarRheumatology Department, Faculty of Medicine, Zagazig University, Sharkia, Egypt.
Nahla N EesaRheumatology Department, Faculty of Medicine, Cairo University, Cairo, Egypt.
Mohamed N SalemRheumatology Unit, Internal Medicine Department, Faculty of Medicine, Beni-Suef University, Beni-Suef, Egypt.
Soha E IbrahimRheumatology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Dina F El-EssawiInternal Medicine Department, Rheumatology and Rehabilitation Clinic, National Centre for Radiation Research and Technology, Egyptian Atomic Energy Authority (AEA), Cairo, Egypt.
Ahmed M ElsamanRheumatology Department, Faculty of Medicine, Sohag University, Sohag, Egypt.
Hanan M FathiRheumatology Department, Faculty of Medicine, Fayoum University, Fayoum, Egypt.
Rehab A SallamRheumatology Department, Faculty of Medicine, Mansoura University, Dakahlia, Egypt.
Rawhya R El ShereefRheumatology Department, Faculty of Medicine, Minia University, Minia, Egypt.
Faten IsmailRheumatology Department, Faculty of Medicine, Minia University, Minia, Egypt.
Mervat I Abd-ElazeemRheumatology Department, Faculty of Medicine, Beni-Suef University, Beni-Suef, Egypt.
Emtethal A SaidRheumatology Department, Faculty of Medicine, Benha University, Kalubia, Egypt.
Noha M KhalilRheumatology Unit, Internal Medicine Department, Faculty of Medicine, Cairo University, Cairo, Egypt.
Dina ShahinRheumatology Unit, Internal Medicine Department, Faculty of Medicine, Mansoura University, Dakahlia, Egypt.
Hanan M El-SaadanyRheumatology Department, Faculty of Medicine, Tanta University, Tanta, Egypt.
Marwa ElKhalifaRheumatology Unit, Internal Medicine Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Samah I NasefRheumatology and Rehabilitation Department, Faculty of Medicine, Suez-Canal University, Ismailia, Egypt.
Ahmed M AbdallaRheumatology Department, Faculty of Medicine, Aswan University, Aswan, Egypt.
Nermeen NoshyRheumatology Department, Faculty of Medicine, Benha University, Kalubia, Egypt.
Rasha M FawzyRheumatology Department, Faculty of Medicine, Benha University, Kalubia, Egypt.
Ehab SaadRheumatology Department, Faculty of Medicine, South Valley University, Qena, Egypt.
Abdelhafeez MoshrifRheumatology Department, Faculty of Medicine, Al-Azhar University, Assuit, Egypt.
Amira T El-ShanawanyRheumatology Department, Faculty of Medicine, Menoufia University, Menoufia, Egypt.
Yousra H Abdel-FattahRheumatology Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Hossam M KhalilOphthalmology Department, Faculty of Medicine, Beni-Suef University, Beni-Suef, Egypt.
Osman HammamDepartment of Rheumatology and Rehabilitation, Faculty of Medicine, New Valley University, New Valley, Egypt.
Aly Ahmed Fathy *Ophthalmology Department, Faculty of Medicine, Al-Azhar Assiut University, Assiut, Egypt.
Tamer A Gheita *Rheumatology Department, Kasr Al Ainy School of Medicine, Cairo University, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEye lesions, occur in nearly half of patients with Behçet's Disease (BD), can lead to irreversible damage and vision loss; however, limited studies are available on identifying risk factors for the development of vision-threatening BD (VTBD). Using an Egyptian college of rheumatology (ECR)-BD, a national cohort of BD patients, we examined the performance of machine-learning (ML) models in predicting VTBD compared to logistic regression (LR) analysis. We identified the risk factors for the development of VTBD.

methodsPatients with complete ocular data were included. VTBD was determined by the presence of any retinal disease, optic nerve involvement, or occurrence of blindness. Various ML-models were developed and examined for VTBD prediction. The Shapley additive explanation value was used for the interpretability of the predictors.

resultsA total of 1094 BD patients [71.5% were men, mean ± SD age 36.1 ± 10 years] were included. 549 (50.2%) individuals had VTBD. Extreme Gradient Boosting was the best-performing ML model (AUROC 0.85, 95% CI 0.81, 0.90) compared with logistic regression (AUROC 0.64, 95%CI 0.58, 0.71). Higher disease activity, thrombocytosis, ever smoking, and daily steroid dose were the top factors associated with VTBD.

conclusionsUsing information obtained in the clinical settings, the Extreme Gradient Boosting identified patients at higher risk of VTBD better than the conventional statistical method. Further longitudinal studies to evaluate the clinical utility of the proposed prediction model are needed.

Indexed as

Behcet SyndromeRheumatologyAdultEgyptFemaleHumansMaleMiddle AgedBehçet’s diseaseMachine learningSHAP analysisVision-threatening BD

Identifiers

PMID36803463
PMCPMC9938580

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.