Evidence map›Paper›PMID 38453215›Full record

ArticleRMD open2024

Risk-stratified monitoring for sulfasalazine toxicity: prognostic model development and validation.

Abhishek Abhishek, Matthew Grainge, Tim Card, Hywel C Williams, Maarten W Taal, Guruprasad P Aithal, Christopher P Fox, Christian D Mallen, Matthew D Stevenson, Georgina Nakafero and 1 more

Open access · goldAbstract read
In one paragraph

Article in RMD open, 2024. 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
2.4field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Discovery of (Molecules (Basel, Switzerland) · 2025
    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

11 authors at 4 institutions in 2 countries.

Abhishek AbhishekAcademic Rheumatology, University of Nottingham, Nottingham, UK Abhishek.Abhishek@nottingham.ac.uk.ORCID 0000-0003-0121-4919
Matthew GraingeLifespan and Population Health, University of Nottingham, Nottingham, UK.
Tim CardLifespan and Population Health, University of Nottingham, Nottingham, UK.ORCID 0000-0003-2555-2250
Hywel C WilliamsLifespan and Population Health, University of Nottingham, Nottingham, UK.
Maarten W TaalTranslational Medical Sciences, University of Nottingham, Nottingham, UK.
Guruprasad P AithalTranslational Medical Sciences, University of Nottingham, Nottingham, UK.
Christopher P FoxTranslational Medical Sciences, University of Nottingham, Nottingham, UK.
Christian D MallenSchool of Meicine, Keele University, Keele, UK.
Matthew D StevensonSchool of Medicine and Population Health, University of Sheffield, Sheffield, UK.
Georgina Nakafero *Academic Rheumatology, University of Nottingham, Nottingham, UK.
Richard Riley *University of Birmingham, Birmingham, UK.
University of Nottingham · GBKeele University · GBUniversity of Birmingham · GBUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSulfasalazine-induced cytopenia, nephrotoxicity and hepatotoxicity is uncommon during long-term treatment. Some guidelines recommend 3 monthly monitoring blood tests indefinitely during long-term treatment while others recommend stopping monitoring after 1 year. To rationalise monitoring, we developed and validated a prognostic model for clinically significant blood, liver or kidney toxicity during established sulfasalazine treatment.

designRetrospective cohort study.

settingUK primary care. Data from Clinical Practice Research Datalink Gold and Aurum formed independent development and validation cohorts.

participantsAge ≥18 years, new diagnosis of an inflammatory condition and sulfasalazine prescription. STUDY PERIOD: 1 January 2007 to 31 December 2019. OUTCOME: Sulfasalazine discontinuation with abnormal monitoring blood-test result. ANALYSIS: Patients were followed up from 6 months after first primary care prescription to the earliest of outcome, drug discontinuation, death, 5 years or 31 December 2019. Penalised Cox regression was performed to develop the risk equation. Multiple imputation handled missing predictor data. Model performance was assessed in terms of calibration and discrimination.

results8936 participants were included in the development cohort (473 events, 23 299 person-years) and 5203 participants were included in the validation cohort (280 events, 12 867 person-years). Nine candidate predictors were included. The optimism adjusted R

conclusionThis prognostic model for sulfasalazine toxicity uses readily available data and should be used to risk-stratify blood-test monitoring during established sulfasalazine treatment.

Indexed as

SulfasalazineAdolescentHumansPrognosisRetrospective StudiesSulfasalazinearthritis, psoriaticarthritis, rheumatoidsulfasalazinetreatment

Identifiers

PMID38453215
PMCPMC10921482
OpenAlexW4392767099

What OpenQuestion holds

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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.