Evidence map›Paper›PMID 33559551›Full record

ArticleAnnals of the Royal College of Surgeons of England2021

Is there a 'weekend effect' in elective lower limb arthroplasty?

M Higgins, J Nightingale, K Sehat

Abstract read
In one paragraph

Article in Annals of the Royal College of Surgeons of England, 2021. 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. 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

3 authors.

M HigginsTrauma and Orthopaedics, Nottingham City Hospitals NHS Trust, Nottingham, UK.
J NightingaleTrauma and Orthopaedics, Nottingham City Hospitals NHS Trust, Nottingham, UK.
K SehatTrauma and Orthopaedics, Nottingham City Hospitals NHS Trust, Nottingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe weekend effect has been defined as a real or perceived decline in patient care provided on weekends and that provided on weekdays. The primary aim of this study was to investigate the association between day of surgery and length of stay for patients receiving elective lower limb joint arthroplasty in a large NHS teaching hospital. MATERIALS AND

methodsData were obtained from a prospectively collected database of consecutive patients undergoing elective primary total knee and hip arthroplasty. Patient and clinical variables were collected alongside length of hospital stay. Data were anonymised and analysed using a multiple linear regression model.

resultsA total of 3,544 knee and 3,277 hip replacements were included. No association was found between length of stay and day of surgery for either procedure. A significant association was noted between longer length of stay and increasing age, higher American Society of Anesthesiologists grade and male compared with female gender. DISCUSSION: No evidence of a weekend effect was identified. Certain patient factors predicted longer hospital stay and focussing additional resources on these patient groups may prove a useful strategy in reducing overall length of stay.

conclusionsLength of stay reduced across the time period included in this review while maintaining equality between the days of the week, which represents the successful management of weekend services.

Indexed as

AdultAgedAged, 80 and overAge FactorsArthroplasty, Replacement, HipArthroplasty, Replacement, KneeElective Surgical ProceduresFemaleHumansLength of StayMaleMiddle AgedPersonnel Staffing and SchedulingProspective StudiesRisk FactorsTime FactorsArthroplastyElective surgical proceduresLength of stayPostoperative care

Identifiers

PMID33559551
PMCPMC9773907

What OpenQuestion holds

Textmetadata
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.