Evidence map›Paper›PMID 38296310›Full record

Observational studyRMD open2024

Prevalence and clinical characteristics of patients with rheumatoid arthritis with interstitial lung disease using unstructured healthcare data and machine learning.

Jose A Román Ivorra, Ernesto Trallero-Araguas, Maria Lopez Lasanta, Laura Cebrián, Leticia Lojo, Belén López-Muñíz, Julia Fernández-Melon, Belén Núñez, Lucia Silva-Fernández, Raúl Veiga Cabello and 15 more

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in RMD open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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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

25 authors.

Jose A Román IvorraReumathology Department, Hospital Politécnico y Universitario La Fe, Valencia, Spain.
Ernesto Trallero-AraguasRheumatology Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain.
Maria Lopez LasantaRheumatology Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain.
Laura CebriánRheumatology Department, Hospital Infanta Leonor, Madrid, Spain.
Leticia LojoRheumatology Department, Hospital Infanta Leonor, Madrid, Spain.
Belén López-MuñízPneumology Department, Hospital Infanta Leonor, Madrid, Spain.
Julia Fernández-MelonRheumatology Department, Hospital Universitario Son Espases, Palma, Spain.
Belén NúñezPneumology Department, Hospital Universitario Son Espases, Palma, Spain.
Lucia Silva-FernándezRheumatology Department, Hospital Universitario Son Espases, Palma, Spain.
Raúl Veiga CabelloRheumatology Department, Hospital Universitario Central de la Defensa Gómez Ulla, Madrid, Spain.
Pilar AhijadoRheumatology, Hospital Universitario Fuenlabrada, Madrid, Spain.
Isabel De la Morena BarrioRheumatology Department, Hospital Clinico Universitario, Valencia, Spain.
Nerea Costas TorrijoRheumatology Department, Hospital Clínico Universitario, Valencia, Spain.
Belén SafontPneumology Department, Hospital Clinico Universitario, Valencia, Spain.
Enrique OrnillaRheumatology Department, Clínica Universidad de Navarra, Pamplona, Spain.
Juliana RestrepoRheumatology Department, Clinica Universidad de Navarra, Pamplona, Spain.
Arantxa CampoPneumology Department, Clinica Universidad de Navarra, Pamplona, Spain.
Jose L AndreuRheumatology Department, Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain.
Elvira DíezRheumatology Department, Complejo Asistencial Universitario de Leon, León, Spain.
Alejandra López RoblesRheumatology Department, Complejo Asistencial Universitario de Leon, Leon, Spain.
Elena BolloPneumology Department, Complejo Asistencial Universitario de Leon, Leon, Spain.
Diego BenaventMedical Department, Savana Research SL, Madrid, Spain.
David VilanovaHealth Economics and Outcomes Research, Bristol-Myers Squibb Company, Madrid, Spain.
Sara Luján ValdésMedical Department, Bristol-Myers Squibb Company, Madrid, Spain.
Raul Castellanos-MoreiraMedical Department, Bristol-Myers Squibb Company, Madrid, Spain raul.castellanos@bms.com.ORCID 0000-0002-4104-4101

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesReal-world data regarding rheumatoid arthritis (RA) and its association with interstitial lung disease (ILD) is still scarce. This study aimed to estimate the prevalence of RA and ILD in patients with RA (RAILD) in Spain, and to compare clinical characteristics of patients with RA with and without ILD using natural language processing (NLP) on electronic health records (EHR).

methodsObservational case-control, retrospective and multicentre study based on the secondary use of unstructured clinical data from patients with adult RA and RAILD from nine hospitals between 2014 and 2019. NLP was used to extract unstructured clinical information from EHR and standardise it into a SNOMED-CT terminology. Prevalence of RA and RAILD were calculated, and a descriptive analysis was performed. Characteristics between patients with RAILD and RA patients without ILD (RAnonILD) were compared.

resultsFrom a source population of 3 176 165 patients and 64 241 683 EHRs, 13 958 patients with RA were identified. Of those, 5.1% patients additionally had ILD (RAILD). The overall age-adjusted prevalence of RA and RAILD were 0.53% and 0.02%, respectively. The most common ILD subtype was usual interstitial pneumonia (29.3%). When comparing RAILD versus RAnonILD patients, RAILD patients were older and had more comorbidities, notably concerning infections (33.6% vs 16.5%, p<0.001), malignancies (15.9% vs 8.5%, p<0.001) and cardiovascular disease (25.8% vs 13.9%, p<0.001) than RAnonILD. RAILD patients also had higher inflammatory burden reflected in more pharmacological prescriptions and higher inflammatory parameters and presented a higher in-hospital mortality with a higher risk of death (HR 2.32; 95% CI 1.59 to 2.81, p<0.001).

conclusionsWe found an estimated age-adjusted prevalence of RA and RAILD by analysing real-world data through NLP. RAILD patients were more vulnerable at the time of inclusion with higher comorbidity and inflammatory burden than RAnonILD, which correlated with higher mortality.

Indexed as

Arthritis, RheumatoidLung Diseases, InterstitialAdultHumansMachine LearningPrevalenceRetrospective StudiesArthritis, RheumatoidEpidemiologyPulmonary Fibrosis

Identifiers

PMID38296310
PMCPMC10836356

What OpenQuestion holds

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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 OpenQuestion graph.