Evidence map›Paper›PMID 26637238›Full record

Trial reportBMC musculoskeletal disorders2015

Pain, depression and the postoperative stiff shoulder.

Nathaniel Hiscock, Simon Bell, Jennifer Coghlan

Registry-linked trialOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in BMC musculoskeletal disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05175586 (Physiotherapeutic Case Reports in Frozen Shoulder Pathology), which is not on this map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
0.2field-weighted citation impact, top 38% 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.

NCT05175586 nacompletednot on this mapstarted 2021, after this paper: background citation

Physiotherapeutic Case Reports in Frozen Shoulder Pathology: Clinical Trial

TypeinterventionalSponsorGEMA LEÓN BRAVORan2021 to 2021Enrolled30ConditionsArticular, RigidArmsFirst data analysis, Second data analysis, database
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Strategies to mitigate complications in arthroscopic rotator cuff repair.Journal of clinical orthopaedics and trauma · 2025
    Article
  5. Review
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

3 authors at 2 institutions in 1 country.

Nathaniel HiscockFaculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, 3800, Australia. njhis3@student.monash.edu.
Simon BellDepartment of Surgery, Monash Medical Centre, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, 3800, Australia. snbell@bigpond.net.au.
Jennifer CoghlanDepartment of Surgery, Monash Medical Centre, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, 3800, Australia. coghlan@bigpond.net.au.
Monash University · AUMonash Medical Centre · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe surgical repair of shoulder pathologies, including rotator cuff disease and acromio-clavicular joint arthritis, have undergone many technical advances. However the debilitating postoperative stiff shoulder remains a common and significant complication of these surgeries, occurring in 4.9 to 23.2 % of patients undergoing rotator cuff repairs. The pathology of the pathological postoperative stiff shoulder and its associated condition "frozen shoulder" are poorly understood and both lack formal objective clinical diagnostic criteria. Additionally, although factors associated with the development of idiopathic frozen shoulder have been well described, multiple studies looking at predictors of postoperative stiff shoulder have produced conflicting results. It has been hypothesised that increased pain in the postoperative period, and depression may be predictors of the development of postoperative stiff shoulder.

methodA prospective cohort study involving 132 consecutive participants. Preoperatively, participants undergoing arthroscopic subacromial decompression and/or excision of the distal clavicle and/or rotator cuff repair will complete questionnaires about their levels of shoulder pain using a numerical rating scale from 0 to 10, and answer a Patient Health Questionnaire - 9 depression questionnaire. Postoperatively, the participants' pain levels will be self-assessed at two, five and seven days and weeks four, seven and ten. They will complete the depression questionnaire twice, at the time of their routine first and final postoperative appointments with the treating surgeon. At the final appointment, approximately three months postoperatively, the treating surgeon will clinically diagnose participants as having a postoperative stiff shoulder or not. Their shoulders' range of motion will be measured. The incidence of postoperative stiff shoulder will be determined, both pain and depression will be analysed as predictors for its development and incidences determined by different objective criteria will be compared. DISCUSSION: This trial will add to clinical understanding of the postoperative stiff shoulder by providing further insight into the incidence of this condition following shoulder surgery and assessing whether perioperative pain and depression can be used as clinical predictors of postoperative stiff shoulder or markers for possible early intervention. This study will also allow the comparison of incidences determined by different objective criteria in the same cohort.

trial registrationAustralian New Zealand Clinical Trials Registry (ANZCTR). ACTRN12613001271796. 17-11-2013.

Indexed as

Cohort StudiesDepressionFemaleFollow-Up StudiesHumansMalePostoperative ComplicationsProspective StudiesRotator CuffRotator Cuff InjuriesShoulder Pain

Identifiers

PMID26637238
PMCPMC4669665
OpenAlexW2183607900

What OpenQuestion holds

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Registered trials

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.