Evidence map›Paper›PMID 30987680›Full record

ArticleArthritis research & therapy2019

Low back pain precedes the development of new knee pain in the elderly population; a novel predictive score from a longitudinal cohort study.

Hiromu Ito, Shinjiro Tominari, Yasuharu Tabara, Takeo Nakayama, Moritoshi Furu, Tomotoshi Kawata, Masayuki Azukizawa, Kazuya Setoh, Takahisa Kawaguchi, Fumihiko Matsuda and 2 more

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  3. Compensatory biomechanics and spinal loading during dynamic maneuvers in patients with chronic low back pain.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2022
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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

12 authors at 1 institution in 1 country.

Hiromu ItoDepartment of Orthopaedic Surgery, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo, Kyoto, 606-8507, Japan. hiromu@kuhp.kyoto-u.ac.jp.ORCID 0000-0002-1827-382X
Shinjiro TominariDepartment of Health Informatics, Kyoto University Graduate School of Medicine, Konoe-cho, Yoshida, Kyoto, 606-8501, Japan.
Yasuharu TabaraCenter for Genomic Medicine, Kyoto University Graduate School of Medicine, Konoe-cho, Yoshida, Kyoto, 606-8501, Japan.
Takeo NakayamaDepartment of Health Informatics, Kyoto University Graduate School of Medicine, Konoe-cho, Yoshida, Kyoto, 606-8501, Japan.
Moritoshi FuruDepartment of Orthopaedic Surgery, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo, Kyoto, 606-8507, Japan.
Tomotoshi KawataDepartment of Orthopaedic Surgery, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo, Kyoto, 606-8507, Japan.
Masayuki AzukizawaDepartment of Orthopaedic Surgery, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo, Kyoto, 606-8507, Japan.
Kazuya SetohCenter for Genomic Medicine, Kyoto University Graduate School of Medicine, Konoe-cho, Yoshida, Kyoto, 606-8501, Japan.
Takahisa KawaguchiCenter for Genomic Medicine, Kyoto University Graduate School of Medicine, Konoe-cho, Yoshida, Kyoto, 606-8501, Japan.
Fumihiko MatsudaCenter for Genomic Medicine, Kyoto University Graduate School of Medicine, Konoe-cho, Yoshida, Kyoto, 606-8501, Japan.
Shuichi MatsudaDepartment of Orthopaedic Surgery, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo, Kyoto, 606-8507, Japan.
Nagahama Study group
Kyoto University · JP

Funding

Japan Agency for Medical Research and Development H26-Choju-Ippan-001, 15dk0107007h0003, 16dk0110007h0003
6 · The paper itself

Abstract

backgroundTo investigate the association between knee pain and risk factors including low back pain and to develop a score to predict new knee pain in an older population, using population-based longitudinal cohort data.

methodsWe collected a questionnaire on self-reported knee pain and demographic data in a systematic manner from community residents aged ≥ 50 years twice, at baseline, and after 5 years. Multivariate logistic regression analyses were performed to investigate the association between knee pain and risk factors and to build a predictive model that would enable calculation of the risk of the development of knee pain within 5 years. The model is presented in the form of score charts.

resultsA total of 5932 residents aged ≥ 50 years from the cohort of 9764 that completed the first questionnaire were enrolled in the second survey. After exclusions, paired data for the two time points an average of 5.4 years apart were analyzed for 4638 participants. Multivariate analyses showed older age, female sex, higher BMI, weight increase, lower mental health score, and higher back pain/disability score were independent risk factors for knee pain. The predictive score comprised six factors: age, sex, BMI, weight increase, mental health, and low back pain/disability. The risk of developing knee pain ranged from 11.0 to 63.2% depending on the total score.

conclusionThis study demonstrated a significant association between knee and low back pain/disability along with other risk factors. The score we developed can be used to identify a population without any imaging modality who are at high risk of developing knee pain.

Indexed as

AgedArthralgiaCohort StudiesFemaleFollow-Up StudiesHumansKnee JointLongitudinal StudiesLow Back PainMaleMiddle AgedMultivariate AnalysisPain MeasurementPopulation SurveillancePredictive Value of TestsProspective StudiesKnee painLow back painMental healthPredictive scoreRisk factor

Identifiers

PMID30987680
PMCPMC6466785
OpenAlexW2947357485

What OpenQuestion holds

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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.