Evidence map›Paper›PMID 25326208›Full record

Trial reportBMJ open2014

Patients' values and preferences of the expected efficacy of hip arthroscopy for osteoarthritis: a protocol for a multinational structured interview-based study combined with a randomised survey on the optimal amount of information to elicit preferences.

Yuqing Zhang, Kari A O Tikkinen, Thomas Agoritsas, Olufemi R Ayeni, Paul Alexander, Maha Imam, Daniel Yoo, Athanasios Tsalatsanis, Benjamin Djulbegovic, Lehana Thabane and 2 more

Abstract readMulticenter StudyRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in BMJ open, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

12 authors.

Yuqing ZhangDepartment of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.ORCID http://orcid.org/0000-0002-6318-3575
Kari A O TikkinenDepartment of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.
Thomas AgoritsasDepartment of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.
Olufemi R AyeniDivision of Orthopaedic Surgery, Department of Surgery, McMaster University, Hamilton, Ontario, Canada.
Paul AlexanderDepartment of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.
Maha ImamFaculty of Pharmacy, University of Waterloo, Kitchener, Ontario, Canada.
Daniel YooFaculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.
Athanasios TsalatsanisDivision of Evidence-based Medicine, University of South Florida, Tampa, Florida, USA.
Benjamin DjulbegovicDepartment of Internal Medicine, University of South Florida, Tampa, Florida, USA.
Lehana ThabaneDepartment of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.
Holger SchünemannDepartment of Clinical Epidemiology and Biostatistics, and Medicine, McMaster University, Hamilton, Ontario, Canada.
Gordon H GuyattDepartment of Clinical Epidemiology and Biostatistics, and Medicine, McMaster University, Hamilton, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSymptomatic hip osteoarthritis (OA) is a disabling condition with up to a 25% cumulative lifetime risk. Total hip arthroplasty (THA) is effective in relieving patients' symptoms and improving function. It is, however, associated with substantial risk of complications, pain and major functional limitation before patients can return to full function. In contrast, hip arthroscopy (HA) is less invasive and can postpone THA. However, there is no evidence regarding the delay in the need for THA that patients would find acceptable to undergoing HA. Knowing patients' values and preferences (VP) on this expected delay is critical when making recommendations regarding the advisability of HA. Furthermore, little is known on the optimal amount of information regarding interventions and outcomes needed to present in order to optimally elicit patients' VP. METHODS AND ANALYSIS: We will perform a multinational, structured interview-based survey of preference in delay time for THA among patients with non-advanced OA who failed to respond to conservative therapy. We will combine these interviews with a randomised trial addressing the optimal amount of information regarding the interventions and outcomes required to elicit preferences. Eligible patients will be randomly assigned (1 : 1) to either a short or a long format of health scenarios of THA and HA. We will determine each patient's VP using a trade-off and anticipated regret exercises. Our primary outcomes for the combined surveys will be: (1) the minimal delay time in the need for THA surgery that patients would find acceptable to undertaking HA, (2) patients' satisfaction with the amount of information provided in the health scenarios used to elicit their VPs. ETHICS AND DISSEMINATION: The protocol has been approved by the Hamilton Integrated Research Ethics Board (HIREB13-506). We will disseminate our study findings through peer-reviewed publications and conference presentations, and make them available to guideline makers issuing recommendations addressing HA and THA.

Indexed as

ArthroscopyPatient Acceptance of Health CarePatient PreferenceAdultAgedFemaleHumansMaleMiddle AgedOsteoarthritis, HipPilot ProjectsSurveys and QuestionnairesTime FactorsDecision MakingHip ArthroscopyPatients' values and preferencePatient Written InformationTotal Hip Arthroplasty

Identifiers

PMID25326208
PMCPMC4202002

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.