Evidence map›Paper›PMID 29951252›Full record

ArticleEFORT open reviews2018

Research methodology for orthopaedic surgeons, with a focus on outcome.

Anne Lübbeke

Abstract read
In one paragraph

Article in EFORT open reviews, 2018. 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
–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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Impact of industry 4.0 to create advancements in orthopaedics.Journal of clinical orthopaedics and trauma · 2020
    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

1 author.

Anne LübbekeDivision of Orthopaedic Surgery and Traumatology, Geneva University Hospitals, Switzerland; Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since improving the patient's condition is the ultimate goal of clinical care and research, this review of research methodology focuses on outcomes in the musculoskeletal field.This paper provides an overview of conceptual models, different types of outcomes and commonly assessed outcomes in orthopaedics as well as epidemiological and statistical aspects of outcomes determination, measurement and interpretation.Clinicians should determine the outcome(s) most important to patients and/or public health in collaboration with the patients, epidemiologists/statisticians and other stakeholders.Key points in outcome choice are to evaluate both the benefit and harm of a health intervention, and to consider short- and longer-term outcomes including patient-reported outcomes.Outcome estimation should aim at identifying a clinically important difference (not the same as a statistically significant difference), at presenting measures of effects with confidence intervals and at taking the necessary steps to minimize bias. Cite this article:

Indexed as

epidemiologyoutcomesstatistics

Identifiers

PMID29951252
PMCPMC5994623

What OpenQuestion holds

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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.