Evidence map›Paper›PMID 41233665›Full record

ArticlePain and therapy2026

Expert Consensus-Based Criteria for Identifying Lumbar Facet Joint Pain in Primary Care: Development Using Factor Analysis and a Modified Delphi Method.

Hiroaki Abe, So Kato, Hirokazu Takami, Satoshi Kodama, Masashi Hamada, Yuki Taniguchi, Masahiko Sumitani, Yasushi Oshima

Abstract read
In one paragraph

Article in Pain and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hiroaki AbeDepartment of Pain and Palliative Medicine, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
So KatoSpine Center, The University of Tokyo Hospital, Tokyo, Japan.
Hirokazu TakamiSpine Center, The University of Tokyo Hospital, Tokyo, Japan.
Satoshi KodamaSpine Center, The University of Tokyo Hospital, Tokyo, Japan.
Masashi HamadaSpine Center, The University of Tokyo Hospital, Tokyo, Japan.
Yuki TaniguchiSpine Center, The University of Tokyo Hospital, Tokyo, Japan.
Masahiko SumitaniDepartment of Pain and Palliative Medicine, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan. SUMITANIM-ANE@h.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0002-3662-8217
Yasushi OshimaSpine Center, The University of Tokyo Hospital, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLumbar facet joint pain is a treatable condition often overlooked or misclassified as nonspecific low back pain. Although facet joint blocks are useful for diagnosis, they are unsuitable for early-stage screening. This study aimed to develop practical diagnostic criteria for lumbar facet joint pain that are easily applicable by general practitioners without invasive procedures to facilitate early identification and referral for appropriate treatment.

methodsPubMed was searched for articles on facet joint pain. All diagnostic items described in the identified articles were comprehensively collected. A questionnaire survey was administered to orthopedic spine surgeons, who rated each item based on its diagnostic value; only those considered important were extracted. Next, using factor analysis, the items were grouped into a small number of factors. Diagnostic criteria were then established through multiple Delphi rounds.

resultsThe query identified 2682 articles published between 2000 and 2023; eight articles were used to extract 77 diagnostic items. A survey collected responses from 39 orthopedic spine surgeons. The 25 most important items were selected from the survey results, and factor analysis was applied. Through multiple Delphi rounds, four diagnostic criteria were established: physical findings suggesting facet joint pain, neurological symptoms, imaging findings suggesting non-facet causes, and signs of discogenic low back pain. Diagnosis is confirmed if the first criterion is met and no more than one of the others is present.

conclusionConsensus-based diagnostic criteria for lumbar facet joint pain were developed, which offer a noninvasive, clinically practical approach to diagnosis, promoting early recognition and appropriate referral by general practitioners.

Indexed as

Diagnostic criteriaFactor analysisLumbar facet joint painModified Delphi method

Identifiers

PMID41233665
PMCPMC12804469

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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.