Evidence map›Paper›PMID 42141693›Full record

Observational studyANZ journal of surgery

Looking Good From the End of Bed: Surgical Clinical Intuition.

Katarina Foley, Nikki Pennifold, Ellie Treloar, Eden Smith, Suzanne Edwards, End of Bed Assessment Group, Matthew Watson, Guy Maddern, Matthias Wichmann

Abstract readObservational Study
In one paragraph

Observational study in ANZ journal of surgery. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

9 authors.

Katarina FoleyDepartment of General Surgery, Mount Gambier and Districts Health Service, Mount Gambier, Australia.ORCID https://orcid.org/0000-0002-0280-0795
Nikki PennifoldDepartment of General Surgery, Mount Gambier and Districts Health Service, Mount Gambier, Australia.
Ellie TreloarDepartment of Surgery, Adelaide University, The Queen Elizabeth Hospital, Woodville, South Australia, Australia.
Eden SmithDepartment of General Surgery, Mount Gambier and Districts Health Service, Mount Gambier, Australia.
Suzanne EdwardsSchool of Public Health, Adelaide University, Adelaide, South Australia, Australia.
End of Bed Assessment Group
Matthew WatsonDepartment of General Surgery, Mount Gambier and Districts Health Service, Mount Gambier, Australia.ORCID https://orcid.org/0000-0002-9751-6200
Guy MaddernDepartment of General Surgery, Mount Gambier and Districts Health Service, Mount Gambier, Australia.ORCID https://orcid.org/0000-0003-2064-181X
Matthias WichmannDepartment of General Surgery, Mount Gambier and Districts Health Service, Mount Gambier, Australia.ORCID https://orcid.org/0000-0002-3482-3916

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study sought to assess clinician ability to correctly identify unwell surgical patients from the 'end-of-bed' to determine the validity of this commonly utilised clinical tool, and whether accurate assessment increases with experience.

methodsThis prospective observational study recruited patients at the time of surgical admission. Patients were filmed responding to three standard questions concerning their presentation. Each patient video was then viewed by five participants from various groups: surgical consultants, registrars, interns, medical students and orderlies (control group). Five 'Yes/No' questions were answered for each video, regarding how unwell patients appeared and their likely clinical trajectory. Assessor answers were compared with 'correct' answers as determined by the investigators, utilising patient clinical data. For each group, the percentage of questions answered correctly was calculated across 99 patients. The mean and standard deviation for the percentage correct was calculated as well as Cohen's Kappa Score when comparing the score for each assessor group with the 'correct' answer.

resultsThe percentage of correctly answered questions was highest in the registrar group (82.21%), closely followed by consultants (82.04%), interns (80.47%), medical students (79.74%) and orderlies (79.44%) (p values < 0.001, except students' p value 0.0729). The order of Cohen's Kappa for correctly answered questions found consultants to have the highest agreement (0.26-fair agreement), followed by registrars (0.25-fair agreement) and lastly medical students (0.14-slight agreement) (p values < 0.001).

conclusionThe 'end-of-bed' assessment is a potential initial tool for assessing disease severity and clinical trajectory of surgical patients and improves with clinician experience.

Indexed as

Clinical CompetenceIntuitionAdultFemaleHumansMaleMiddle AgedProspective StudiesVideo Recordingaudio‐visual assessmentclinical intuitionclinical judgementend of the bed assessmentgeneral surgeryoutcome prediction

Identifiers

PMID42141693
PMCPMC13536204

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.