Evidence map›Paper›PMID 37071179›Full record

ArticleRheumatology international2023

Four-factor risk score for the prediction of interstitial lung disease in rheumatoid arthritis.

Gouri Mani Koduri, Anna Podlasek, Shyanthi Pattapola, Jufen Zhang, Deena Laila, Anupama Nandagudi, Shirish Dubey, Clive Kelly

Open access · hybridAbstract readMulticenter StudyLetter
In one paragraph

Article in Rheumatology international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
7.5field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. 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

8 authors at 6 institutions in 1 country.

Gouri Mani KoduriRheumatology Department, Southend University Hospital, Prittlewell Chase, Westcliff on Sea, Southend-on-Sea, UK. gouri.koduri@nhs.net.ORCID 0000-0003-4189-703X
Anna PodlasekNottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK.ORCID 0000-0001-7297-7169
Shyanthi PattapolaRheumatology Department, Southend University Hospital, Prittlewell Chase, Westcliff on Sea, Southend-on-Sea, UK.ORCID 0000-0002-2582-1863
Jufen ZhangSchool of Medicine, Anglia Ruskin University, Cambridge, UK.ORCID 0000-0003-2704-6212
Deena LailaRheumatology Department, Basildon and Thurrock University Hospital, Basildon, UK.
Anupama NandagudiRheumatology Department, Basildon and Thurrock University Hospital, Basildon, UK.ORCID 0000-0003-2035-8395
Shirish DubeyDepartment of Rheumatology, Oxford University Hospitals NHS FT, Windmill Road, Oxford, OX3 7LD, UK.ORCID 0000-0002-9979-6066
Clive KellyRheumatology Department, James Cook University Hospital, Middlesbrough, UK.ORCID 0000-0003-1536-7908
Basildon and Thurrock University Hospitals NHS Foundation Trust · GBSouthend University Hospital NHS Foundation Trust · GBAnglia Ruskin University · GBJames Cook University Hospital · GBNuffield Orthopaedic Centre · GBUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveInterstitial lung disease (ILD) is one of the commonest systemic complications in patients with rheumatoid arthritis (RA) and carries a significant morbidity and mortality burden. We aimed to identify key variables to risk-stratify RA patients in order to identify those at increased risk of developing ILD. We propose a probability score based on the identification of these variables.

methodsA retrospective, multicentre study using clinical data collected between 2010 and 2020, across 20 centres.

resultsA total of 430 RA (210 with ILD confirmed on high-resolution computed tomography (HRCT)) patients were evaluated. We explored several independent variables for the risk of developing ILD in RA and found that the key significant variables were smoking (past or present), older age and positive rheumatoid factor/anti-cyclic citrullinated peptide. Multivariate logistic regression models were used to form a scoring system for categorising patients into high and low risk on a scale of 0-9 points and a cut-off score of 5, based on the area under the receiver operating characteristic curve of 0.76 (CI 95% 0.71-0.82). This yielded a sensitivity of 86% and a specificity of 58%. High-risk patients should be considered for investigation with HRCT and monitored closely.

conclusionWe have proposed a new model for identifying RA patients at risk of developing ILD. This approach identified four simple clinical variables: age, anti-cyclic citrullinated peptide antibodies, Rheumatoid factor and smoking, which allowed development of a predictive scoring system for the presence of ILD in patients with RA.

Indexed as

Arthritis, RheumatoidLung Diseases, InterstitialHumansRetrospective StudiesRheumatoid FactorRisk FactorsRheumatoid FactorExtra-articular manifestationInterstitial lung diseaseProbability scoreRheumatoid arthritisRisk prediction

Identifiers

PMID37071179
PMCPMC10261234
OpenAlexW4366235787

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.