Evidence map›Paper›PMID 38539417›Full record

ArticleCancers2024

Exploring the Link between Head and Neck Cancer and Elevated Risk of Rheumatoid Arthritis: A National Population-Based Cohort Study.

Chulho Kim, Hyunjae Yu, Dong-Kyu Kim

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Chulho KimDepartment of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea.ORCID 0000-0001-8762-8340
Hyunjae YuInstitute of New Frontier Research, Division of Big Data and Artificial Intelligence, Hallym University College of Medicine, Chuncheon 24252, Republic of Korea.ORCID 0000-0002-3213-2353
Dong-Kyu KimInstitute of New Frontier Research, Division of Big Data and Artificial Intelligence, Hallym University College of Medicine, Chuncheon 24252, Republic of Korea.
Hallym University · KR

Funding

National Research Foundation of Korea 2021R1C1C1005746
6 · The paper itself

Abstract

An increased risk of cancer among patients with rheumatoid arthritis (RA) has been reported. However, the risk of RA events among patients with head and neck cancer (HNC) is unknown. Therefore, we investigated the incidence and risk of RA among patients with HNC. This study was based on a cohort dataset. Overall, 2824 individuals without HNC and 706 patients with HNC were selected using propensity score matching. The overall RA event rate was 12.19 for patients with HNC and 7.60 for those without HNC. A significantly increased risk of developing RA was also observed among patients with HNC. The risk of developing RA over time was relatively high within the first year after HNC diagnosis; further, it increased significantly during the follow-up period. Moreover, middle-aged male patients with HNC exhibited an increased risk of developing RA compared with the controls; however, no significant difference was noted among female patients or other age groups. Notably, subgroup analysis according to cancer subtype revealed that only oral cancer survivors had an increased risk of developing RA. These results underscore the importance of vigilant monitoring by clinicians to promptly identify the onset of RA in patients with HNC.

Indexed as

cancercohort studieshead and neckincidencerheumatoidrisk

Identifiers

PMID38539417
PMCPMC10968609
OpenAlexW4392553581

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.