Evidence map›Paper›PMID 28769588›Full record

ArticleJournal of pain research2017

Duloxetine 60 mg for chronic low back pain: post hoc responder analysis of double-blind, placebo-controlled trials.

Levent Alev, Shinji Fujikoshi, Aki Yoshikawa, Hiroyuki Enomoto, Mitsuhiro Ishida, Toshinaga Tsuji, Kei Ogawa, Shinichi Konno

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

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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

8 authors at 6 institutions in 4 countries.

Levent AlevBio-Medicine.
Shinji FujikoshiStatistical Science.
Aki YoshikawaScientific Communications, Medicines Development Unit, Eli Lilly Japan K.K., Kobe.
Hiroyuki EnomotoBio-Medicine.
Mitsuhiro IshidaClinical Research Development.
Toshinaga TsujiMedical Affairs Department, Shionogi & Co. Ltd, Osaka.
Kei OgawaBio-Medicine.
Shinichi KonnoDepartment of Orthopedic Surgery, Fukushima Medical University, Fukushima, Japan.
Bio-Medical Science (South Korea) · KRClinical Research Management · USEli Lilly (Japan) · JPFukushima Medical University · JPShionogi (Japan) · JPStatistical Service · CY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDuloxetine has demonstrated efficacy in chronic low back pain (CLBP). We examined the predictors of response to duloxetine for CLBP. PATIENTS AND

methodsThis was a post hoc analysis of pooled data from 4 double-blind, ran-domized, placebo-controlled trials of duloxetine (60 mg/day for 12-14 weeks) in adult patients with CLBP. Primary outcome was proportion of patients with ≥30% reduction in Brief Pain Inventory (BPI) average pain ("pain reduction") at 12-14 weeks. The proportion of patients with ≥30% and ≥50% (secondary outcome) pain reduction in duloxetine and placebo groups was compared. Variables for responder analyses were early improvement (≥15% pain reduction at Week 2), sex, age, baseline BPI average pain score, duration of CLBP, and number of painful body sites according to the Michigan Body Map (≥2 vs 1 [isolated CLBP]; 1 trial); relative risk (RR) and 95% confidence interval (CI) were calculated.

resultsCompared with placebo (n = 653), a greater proportion of duloxetine-treated patients (n = 642) achieved ≥30% (59.7% vs 47.8%;

conclusionEarly pain reduction was indicative of overall response. Patients with multiple painful sites had more benefit from duloxetine than patients with isolated CLBP.

Indexed as

Brief Pain Inventorychronic painlow back painMichigan Body Mapmultiple painful sitesSNRI

Identifiers

PMID28769588
PMCPMC5533563
OpenAlexW2738583301

What OpenQuestion holds

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Registered trials

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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.