Evidence map›Paper›PMID 39677127›Full record

ReviewCureus2024

Effectiveness of General Medicine in the Management of Rheumatoid Arthritis in Rural Settings: A Systematic Review and Meta-Ethnography.

Ryuichi Ohta, Chiaki Sano

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

2 authors.

Ryuichi OhtaCommunity Care, Unnan City Hospital, Unnan, JPN.
Chiaki SanoCommunity Medicine Management, Shimane University Faculty of Medicine, Izumo, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is a global autoimmune disease causing significant morbidity, particularly in rural areas with limited rheumatology care access. Primary care plays a crucial role in early RA detection and management. This systematic review evaluates RA management in rural primary care to identify ways to enhance quality of care. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a meta-ethnography synthesis was conducted on studies from PubMed, Web of Science, and Embase (April 1995-December 2023). Quality was assessed using the best evidence in medical education (BEME) scale, focusing on diagnosis, treatment barriers, and collaboration between general physicians (GPs) and specialists. Of 55 studies, 11 were included. Significant diagnostic delays were linked to patient, physician, and systemic factors. Barriers included limited GP rheumatology training, inefficient referrals, and poor patient-specialist communication. Successful strategies involved GP education, telehealth (e-consults), and collaborative care models. Thematic analysis highlighted patient behaviors, GP knowledge gaps, and the need for interdisciplinary collaboration. Rural RA management faces challenges such as diagnostic delays and limited resources. Key improvements include enhancing GP education, utilizing telehealth, and streamlining referral systems. A multifaceted approach emphasizing the role of primary care in early diagnosis and management is essential to improving RA care in underserved areas.

Indexed as

collaborationfamily medicinegeneral medicinegeneral practitionershealth services accessibilityprimary health carereferral and consultationrheumatoid arthritis/diagnosisruraltelemedicine

Identifiers

PMID39677127
PMCPMC11646328

What OpenQuestion holds

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LicenceCC BY
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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.