Evidence map›Paper›PMID 28280380›Full record

ArticleJournal of pain research2017

Estimated risk for chronic pain determined using the generic STarT Back 5-item screening tool.

Hiroyuki Oka, Ko Matsudaira, Tomoko Fujii, Norimasa Kikuchi, Yuri Haga, Takayuki Sawada, Junji Katsuhira, Takahiko Yoshimoto, Kayo Kawamata, Juichi Tonosu and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of pain research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. How Well Do Seven Self-Report Measures Represent Underlying Back Pain Impact?Pain management nursing : official journal of the American Society of Pain Management Nurses · 2024
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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

13 authors at 6 institutions in 2 countries.

Hiroyuki OkaDepartment of Medical Research and Management for Musculoskeletal Pain, Faculty of Medicine, 22nd Century Medical & Research Center, University of Tokyo, Tokyo.
Ko MatsudairaDepartment of Medical Research and Management for Musculoskeletal Pain, Faculty of Medicine, 22nd Century Medical & Research Center, University of Tokyo, Tokyo.
Tomoko FujiiDepartment of Medical Research and Management for Musculoskeletal Pain, Faculty of Medicine, 22nd Century Medical & Research Center, University of Tokyo, Tokyo.
Norimasa KikuchiClinical Study Support, Inc; Department of Public Health, Aichi Medical University School of Medicine, Aichi.
Yuri HagaClinical Study Support, Inc.
Takayuki SawadaClinical Study Support, Inc; Department of Public Health, Aichi Medical University School of Medicine, Aichi.
Junji KatsuhiraDepartment of Prosthetics & Orthotics and Assistive Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, Niigata.
Takahiko YoshimotoDepartment of Rehabilitation, Kameda Medical Center, Chiba.
Kayo KawamataDepartment of Medical Research and Management for Musculoskeletal Pain, Faculty of Medicine, 22nd Century Medical & Research Center, University of Tokyo, Tokyo.
Juichi TonosuDepartment of Orthopaedic Surgery, Kanto Rosai Hospital, Kanagawa.
Masahiko SumitaniDepartment of Pain and Palliative Medicine, Faculty of Medicine.
Satoshi KasaharaDepartment of Pain and Palliative Medicine, Faculty of Medicine.
Sakae TanakaDepartment of Orthopaedic Surgery, University of Tokyo, Tokyo, Japan.
The University of Tokyo · JPClinical Study Center of Asheville · USPain and Rehabilitation Medicine · USAichi Medical University · JPKameda Medical Center · JPNiigata University of Health and Welfare · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe generic STarT Back 5-item screening tool (STarT-G) is used to manage chronic pain in the lower back and elsewhere. This study evaluated the validity of the Japanese version of this generic screening tool. MATERIALS AND

methodsJapanese participants between the ages of 20 and 64 years completed online surveys regarding pain. Survey reliability was assessed with internal consistency, as calculated using Cronbach's alpha coefficients. Spearman's correlation coefficients were used to evaluate concurrent validity between the STarT-G score and standard reference questionnaires. Associations between STarT-G scores and the presence of a disability due to chronic pain (DCP) were analyzed using receiver operator characteristic (ROC) curves.

resultsAnalyses ultimately included data obtained from 52,842 Japanese participants (54.4% male) with a mean (standard deviation) age of 47.7 (9.4) years. Approximately 1.5% of participants had DCP, and the mean STarT-G score was 1.2 (1.4). The Cronbach's alpha coefficient was 0.71, indicating an acceptable reliability. The STarT-G score moderately correlated with the pain numerical rating scale (NRS) score (Spearman's correlation coefficient:

conclusionThe STarT-G was internally consistent and was able to distinguish between subjects with and without a DCP. Therefore, the STarT-G can reliably be used in the Japanese population to identify patients with DCP.

Indexed as

chronic paindisabilityprimary carepsychological factorsscreening toolsomatic symptoms

Identifiers

PMID28280380
PMCPMC5338985
OpenAlexW2594812067

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.