Evidence map›Paper›PMID 29657844›Full record

ArticleEFORT open reviews2018

Spine-hip relations in patients with hip osteoarthritis.

Charles Rivière, Stefan Lazic, Louis Dagneaux, Catherine Van Der Straeten, Justin Cobb, Sarah Muirhead-Allwood

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 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Hip-spine relationship: clinical evidence and biomechanical issues.Archives of orthopaedic and trauma surgery · 2024
    Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Review
  16. Review
  17. Toward understanding the underlying mechanisms of pelvic tilt reserve in adult spinal deformity: the role of the 3D hip orientation.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2021
    Article
  18. Article
  19. Article
  20. Article
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

6 authors.

Charles RivièreMSK Lab, Imperial College London, UK.
Stefan LazicSouth West London Elective Orthopaedic Centre, UK.
Louis DagneauxCHU de Montpellier, France.
Catherine Van Der StraetenLondon Hip Unit, UK.
Justin CobbMSK Lab, Imperial College London, UK.
Sarah Muirhead-AllwoodLondon Hip Unit, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with hip osteoarthritis often have an abnormal spine-hip relation (SHR), meaning the presence of a clinically deleterious spine-hip and/or hip-spine syndrome.Definition of the individual SHR is ideally done using the EOS® imaging system or, if not available, with conventional lumbopelvic lateral radiographs.By pre-operatively screening patients with abnormal SHR, it is possible to refine total hip replacement (THR) surgical planning, which may improve outcomes.An important component of the concept of kinematically aligned total hip arthroplasty (KA THA) consists of defining the optimal acetabular cup design and orientation based on the assessment of an individual's SHR, and use of the transverse acetabular ligament to adjust the cup positioning.The Bordeaux classification might advance the understanding of SHR and hopefully help improve THR outcomes. Cite this article:

Indexed as

Spine–hip relationspine–hip syndrome

Identifiers

PMID29657844
PMCPMC5890167

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.