Evidence map›Paper›PMID 42292144›Full record

ArticleTherapeutic advances in musculoskeletal disease2026

Development and validation of a clinical scoring system for the prediction of methotrexate treatment response in rheumatoid arthritis patients: a multicenter real-world study.

Rudy Hidayat, Fara Fauzia, Suryo Anggoro Kusumo Wibowo, Anna Ariane, Radiyati Umi Partan, Putri Muthia, Ika Vemilia Warlisti, Bantar Suntoko, Mirza Zaka Pratama, Cesarius Singgih Wahono and 10 more

Abstract read
In one paragraph

Article in Therapeutic advances in musculoskeletal disease, 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

20 authors.

Rudy HidayatRheumatology Division, Department of Internal Medicine, Faculty of Medicine, Universitas Indonesia, Dr Cipto Mangunkusumo National Central General Hospital, Jakarta 10430, Indonesia.ORCID https://orcid.org/0000-0003-4895-2409
Fara FauziaFaculty of Medicine, Batam International University, Riau Islands, Indonesia.
Suryo Anggoro Kusumo WibowoRheumatology Division, Department of Internal Medicine, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia.
Anna ArianeRheumatology Division, Department of Internal Medicine, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia.
Radiyati Umi PartanRheumatology Division, Department of Internal Medicine, Faculty of Medicine, Universitas Sriwijaya, Mohammad Hoesin General Hospital, Palembang, Indonesia.
Putri MuthiaRheumatology Division, Department of Internal Medicine, Faculty of Medicine, Universitas Sriwijaya, Mohammad Hoesin General Hospital, Palembang, Indonesia.
Ika Vemilia WarlistiRheumatology Division, Department of Internal Medicine, Faculty of Medicine, Universitas Diponegoro, Dr Kariadi General Hospital, Semarang, Indonesia.
Bantar SuntokoRheumatology Division, Department of Internal Medicine, Faculty of Medicine, Universitas Diponegoro, Dr Kariadi General Hospital, Semarang, Indonesia.
Mirza Zaka PratamaRheumatology Division, Department of Internal Medicine, Faculty of Medicine, Universitas Brawijaya, Saiful Anwar General Hospital, Malang, Indonesia.
Cesarius Singgih WahonoRheumatology Division, Department of Internal Medicine, Faculty of Medicine, Universitas Brawijaya, Saiful Anwar General Hospital, Malang, Indonesia.
Lita Diah RahmawatiRheumatology Division, Department of Internal Medicine, Faculty of Medicine, Universitas Airlangga, Dr Soetomo General Hospital, Surabaya, Indonesia.
Pande Ketut KurniariRheumatology Division, Department of Internal Medicine, Faculty of Medicine, Universitas Udayana, Ngoerah General Hospital Denpasar, Bali, Indonesia.
Anggarda Kristianti UtomoRheumatology Division Department of Internal Medicine, Faculty of Medicine, Universitas Lambung Mangkurat, Ulin General Hospital, Banjarmasin, Indonesia.
Najirman NajirmanRheumatology Division, Department of Internal Medicine, Faculty of Medicine, Universitas Andalas, Dr M Djamil General Hospital, Padang, Indonesia.
Eka KurniawanRheumatology Division, Department of Internal Medicine, Faculty of Medicine, Universitas Andalas, Dr M Djamil General Hospital, Padang, Indonesia.
Yulyani WerdiningsihRheumatology Division, Department of Internal Medicine, Faculty of Medicine, Universitas Sebelas Maret, Dr Moewardi General Hospital, Surakarta, Indonesia.
Faridin PangoRheumatology Division, Department of Internal Medicine, Faculty of Medicine, Universitas Hasanuddin, Dr Wahidin Sudirohusodo General Hospital, Makassar, Indonesia.
Mochammad Alfansyah DhifanraJakarta Rheumatic & Autoimmune Disease Study Group (Jak-RAIDS), Jakarta, Indonesia.
Jessica AudreyJakarta Rheumatic & Autoimmune Disease Study Group (Jak-RAIDS), Jakarta, Indonesia.
Faisal ParlindunganRheumatology Division, Department of Internal Medicine, Faculty of Medicine, Universitas Indonesia, Dr Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methotrexate (MTX) remains the anchor drug in rheumatoid arthritis (RA) management. However, treatment response varies widely. Objectives: This study aimed to develop and validate a simple scoring model for predicting MTX monotherapy treatment success at 6 months. Methods: We conducted a multicenter, retrospective cohort study of newly diagnosed, disease-modifying antirheumatic drug-naïve RA patients treated with MTX monotherapy. Treatment success was defined as achieving remission or low disease activity at 6 months based on Disease Activity Score-28 with erythrocyte sedimentation rate (DAS28-ESR). Multivariable logistic regression was used to identify baseline predictors and construct a scoring model. Internal validation was performed using stratified 10-fold cross-validation and bootstrap resampling, while external validation was conducted in an independent cohort from three hospitals. Model performance was evaluated by discrimination and calibration. Results: The development cohort included 840 patients. Four independent predictors of MTX success were identified: age >60 years, normal ESR, lower baseline disease activity (DAS28-ESR ⩽5.1), and lower glucocorticoid dose. The model demonstrated an area under the ROC curve (AUC) of 0.66. Internal validation yielded a mean AUC of 0.65, with a calibration intercept of -0.001 and slope of 0.943. Bootstrap analysis showed minimal optimism (0.003). External validation in 265 patients showed moderate discrimination (AUC 0.63; 95% confidence interval 0.56-0.70) with acceptable calibration (intercept 0.16; slope 0.890) and a stable Brier score of 0.23. No significant difference in AUC was observed between cohorts ( Conclusion: The MTX response scoring system demonstrated stable performance and may serve as an adjunctive tool to aid in early risk stratification for MTX treatment success, particularly in resource-limited settings.

Indexed as

methotrexateprediction modelrheumatoid arthritisscoringvalidation

Identifiers

PMID42292144
PMCPMC13254140

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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 OpenQuestion graph.