Evidence map›Paper›PMID 32803571›Full record

ArticleClinical rheumatology2020

Overall survival in patients with rheumatoid arthritis and solid malignancies receiving biologic disease-modifying antirheumatic therapy.

Xerxes Pundole, Natalia V Zamora, Harish Siddhanamatha, Heather Lin, Jean Tayar, Cheuk Hong Leung, Liang Li, Maria E Suarez-Almazor

Open access · greenAbstract read
In one paragraph

Article in Clinical rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Xerxes PundoleDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA.
Natalia V ZamoraSección Reumatología, Instituto de Rehabilitación Psicofísica, Buenos Aires, Argentina.
Harish SiddhanamathaDepartment of Data Integrity and Analytics, Augusta University Medical Center, Augusta, GA, USA.
Heather LinDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jean TayarDepartment of General Internal Medicine, Section of Rheumatology and Clinical Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Cheuk Hong LeungDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Liang LiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Maria E Suarez-AlmazorDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA. msalmazor@mdanderson.org.ORCID http://orcid.org/0000-0001-5381-5797
The University of Texas MD Anderson Cancer Center · USAugusta University Health · USInstituto Nacional de Rehabilitación Psicofísica · AR

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672Pfizer WI195021
6 · The paper itself

Abstract

INTRODUCTION/

objectivesThe effects of biologic disease-modifying antirheumatic drugs (bDMARDs) in patients with rheumatoid arthritis (RA) and cancer are largely unknown. We examined overall survival (OS) in patients with RA and solid malignancies receiving bDMARDs.

methodsWe performed a retrospective cohort study of patients with RA and solid malignancies seen at MD Anderson Cancer Center between 2002 and 2014. Cox proportional hazard regression models, stratified by tumor type and stage, were fit evaluating use of bDMARDs as a time fixed and time varying covariate.

resultsWe identified 431 RA patients with solid malignancies: 111 (26%) received bDMARDs after their cancer diagnosis. Median OS from cancer diagnosis was 16.1 years. Of the patients receiving bDMARDs, most had localized disease, and only 14 (13%) had advanced cancer. In the stratified Cox models no statistically significant differences were observed between patients who received tumor necrosis factor inhibitors (TNFi) or patients who received nonTNFi, compared with those who did not receive bDMARDs (hazard ratio (HR), 0.67; 95% confidence interval (CI), 0.31, 1.44; HR, 1.10; 95% CI, 0.26, 4.60 respectively). In breast cancer patients, those receiving TNFi or nonTNFi had a numerically higher but statistically nonsignificant HR compared with those who did not receive bDMARD: HR, 1.40 (95% CI, 0.42, 4.73), and HR, 1.37 (95% CI, 0.22, 8.42) respectively.

conclusionNo significant differences in OS were observed between patients who received bDMARDs and those who did not. Additional data is needed to evaluate other cancer outcomes such as recurrence and progression, and patients with advanced cancer. Key Points •We found no statistically significant differences in OS between patients with RA and concomitant solid malignancies who received bDMARDs and those who did not. •Most patients who received bDMARDs had been diagnosed with early stage cancer •As few patients with advanced cancer received bDMARDs safety for this group cannot be established •No significant differences were observed between TNFi and nonTNFi, but the sample size was small.

Indexed as

Antirheumatic AgentsArthritis, RheumatoidBiological ProductsHumansNeoplasm Recurrence, LocalRetrospective StudiesAntirheumatic AgentsBiological ProductsBiologicCancerDMARDRheumatoid arthritisTumor necrosis factor

Identifiers

PMID32803571
PMCPMC10556973
OpenAlexW3049375147

What OpenQuestion holds

Textmetadata
LicenceTDM
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.