Evidence map›Paper›PMID 26039901›Full record

ArticlePain2015

Can patients identify what triggers their back pain? Secondary analysis of a case-crossover study.

Patricia do Carmo Silva Parreira, Chris G Maher, Jane Latimer, Daniel Steffens, Fiona Blyth, Qiang Li, Manuela L Ferreira

Abstract read
In one paragraph

Article in Pain, 2015. 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. Guideline
  2. Trial
  3. Article
  4. Article
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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

7 authors.

Patricia do Carmo Silva ParreiraThe George Institute for Global Health, Sydney Medical School, The University of Sydney, Sydney, Australia Federal University of Minas Gerais, Belo Horizonte, Brazil Sydney Medical School, The University of Sydney, Sydney, Australia Institute of Bone and Joint Research, The Kolling Institute, Sydney Medical School, Sydney, Australia.
Chris G Maher
Jane Latimer
Daniel Steffens
Fiona Blyth
Qiang Li
Manuela L Ferreira

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this case-crossover study was to investigate the extent to which patients can accurately nominate what triggered their new episode of sudden-onset acute low back pain (LBP). We interviewed 999 primary care patients to record exposure to 12 standard triggers and also asked the patients to nominate what they believed triggered their LBP. Exposure to the patient-nominated trigger during the case window was compared with exposure in the control window. Conditional logistic regression models were constructed to quantify the risk of LBP onset associated with the patient-nominated trigger. Sensitivity analyses were conducted varying the duration and timing of case/control windows. We compared the extent to which patient-nominated triggers matched standard triggers. The odds ratios for exposure to patient-nominated triggers ranged from 8.60 to 30.00, suggesting that exposure increases the risk of LBP. Patients' understanding of triggers however seems incomplete, as we found evidence that while some of the standard triggers were well recognised (such as lifting heavy loads), others (such as being distracted during manual tasks) were under-recognised as possible triggers of an episode of LBP. This study provides some evidence that patients can accurately nominate the activity that triggered their new episode of sudden-onset acute LBP.

Indexed as

Cross-Over StudiesAdultBack PainFemaleHumansLogistic ModelsMaleMiddle AgedOdds RatioPain MeasurementPrimary Health CareRisk AssessmentTime Factors

Identifiers

PMID26039901
PMCPMC4770353

What OpenQuestion holds

Textmetadata
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.