Evidence map›Paper›PMID 22437265›Full record

ArticleInternational orthopaedics2012

Predicting discharge location of hip fracture patients; the new discharge of hip fracture patients score.

Anne Jochem Hendrik Vochteloo, Wim Eduard Tuinebreijer, Andrea Britta Maier, Rob Gerardus Henricus Hubertus Nelissen, Rolf Melchior Bloem, Peter Pilot

Abstract readEvaluation Study
In one paragraph

Article in International orthopaedics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Predictors of direct home discharge following fractured neck of femur.Annals of the Royal College of Surgeons of England · 2017
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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.

Anne Jochem Hendrik VochtelooDepartment of Orthopaedic Surgery, Leiden University Medical Centre, P.O. Box 9600, 2300, RC, Leiden, The Netherlands. ajhvochteloo@hotmail.com
Wim Eduard Tuinebreijer
Andrea Britta Maier
Rob Gerardus Henricus Hubertus Nelissen
Rolf Melchior Bloem
Peter Pilot

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis paper reports on the development and validity of a new instrument, called the discharge of hip fracture patients score (DHP), that predicts at admission the discharge location in patients living in their own home prior to hip fracture surgery.

methodsA total of 310 patients aged 50 years and above were included. Risk factors for discharge to an alternative location (DAL) were analysed with a multivariable regression analysis taking the admission variables into account with different weights based on the estimates. The score ranged from 0-100 points. The cut-off point for DAL was calculated using a ROC analysis. Reliability of the DHP was evaluated.

resultsRisk factors for DAL were higher age, female gender, dementia, absence of a partner and a limited level of mobility. The cut-off point was set at 30 points, with a sensitivity of 83.8%, a specificity of 64.7% and positive predictive value of 79.2%.

conclusionThe DHP is a valid, simple and short instrument to be used at admission to predict discharge location of hip fracture patients.

Indexed as

Arthroplasty, Replacement, HipHealth Status IndicatorsAgedAged, 80 and overAge FactorsDementiaFemaleFollow-Up StudiesHip FracturesHumansMaleMiddle AgedPatient AdmissionPatient DischargePredictive Value of TestsPrevalence

Identifiers

PMID22437265
PMCPMC3535032

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.