Evidence map›Paper›PMID 32029389›Full record

ReviewBest practice & research. Clinical rheumatology2020

The relationships between cancer and autoimmune rheumatic diseases.

Laura C Cappelli, Ami A Shah

Abstract readReview
In one paragraph

Review in Best practice & research. Clinical rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 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

2 authors.

Laura C CappelliDivision of Rheumatology, Johns Hopkins University School of Medicine, 5501 Hopkins Bayview Circle, Arthritis Center, Baltimore, MD, 21224, USA. Electronic address: lcappel1@jhmi.edu.
Ami A ShahDivision of Rheumatology, Johns Hopkins University School of Medicine, 5200 Eastern Avenue, Mason F. Lord Center Tower, Suite 4100, Baltimore, MD, 21224, USA. Electronic address: Ami.Shah@jhmi.edu.

Funding

Sample Processing and Immunoassay Research CoreP30AR070254 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI Antony Rosen · 2016 to 2026
$8.9M
Autoantibodies Define Scleroderma Subgroups with Distinct Relationships to CancerR01AR073208 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI LIVIA A CASCIOLA-ROSEN, Ami Aalok Shah · 2018 to 2026
$5.2M
Understanding Inflammatory Arthritis due to Immune Checkpoint InhibitorsK23AR075872 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI CAPPELLI, LAURA CHRISTINE · 2019 to 2023
$779k
NIAMS NIH HHS K23 AR075872NIAMS NIH HHS P30 AR070254NIAMS NIH HHS R01 AR073208
6 · The paper itself

Abstract

Links between autoimmune rheumatic diseases and cancer continue to be elucidated. In this review, we explore this complex, bidirectional relationship. First, the increased risk of cancer across the breadth of the autoimmune rheumatic diseases is described. The magnitude of risk and types of tumors seen can differ by the type of autoimmune disease, timing of disease course, and even clinical and laboratory features within a particular autoimmune disease, suggesting that targeted cancer screening strategies can be considered. Multiple mechanisms linking autoimmune rheumatic diseases and cancer are discussed, including the development of autoimmunity in the context of naturally occurring anti-tumor immune responses and malignancy arising in the context of inflammation and damage from autoimmunity. Immunosuppression for rheumatic disease can increase risk for certain types of cancers. Finally, immune checkpoint inhibitors, a type of cancer immunotherapy, which cause a variety of inflammatory syndromes of importance to rheumatologists, are reviewed.

Indexed as

Autoimmune DiseasesNeoplasmsRheumatic DiseasesAutoimmunityHumansImmunotherapyAutoantibodiesAutoimmunityCancerImmune checkpoint inhibitor

Identifiers

PMID32029389
PMCPMC7295675

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.