Evidence map›Paper›PMID 38754868›Full record

ArticleAustralasian journal on ageing2024

Development of a minimum clinical dataset for preoperative comprehensive geriatric assessment using a modified Delphi technique.

Margot Lodge, Rachel Aitken, Yih Harng Chong, Janani Thillainadesan

Abstract read
In one paragraph

Article in Australasian journal on ageing, 2024. 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

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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. 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

4 authors.

Margot LodgeAlfred Health, Melbourne, Victoria, Australia.
Rachel AitkenDepartment of Aged Care, Royal Melbourne Hospital, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-8168-7021
Yih Harng ChongTe Whatu Ora (Waitemata District), Auckland, New Zealand.
Janani ThillainadesanDepartment of Geriatric Medicine, Centre for Education and Research on Ageing, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-5287-7483

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo construct a standardised, consensus-guided minimum clinical dataset (MCDS) for preoperative comprehensive geriatric assessment and optimisation (CGA) in Australia and Aotearoa New Zealand.

methodsWe conducted a review of the international perioperative literature to identify CGA domains and tools for potential inclusion in the MCDS. We invited members of the Australian and New Zealand Society for Geriatric Medicine to participate in a Delphi study to obtain consensus on MCDS tools. Participants were asked to rate proposed tools using Likert scales (when >2 tools) or make a binary choice between two proposed tools. Consensus was considered to be achieved when there was at least 75% concordance between the two rounds amongst the participants, and at least one variable attaining over 50% of participants' votes. Domains that did not achieve consensus in Round 1 were carried over to Round 2.

resultsThere were 73 participants in Round 1 of the Delphi study and 47 participants in Round 2. Consensus was achieved on tool/s recommended for every MCDS domain: Clinical Frailty Scale (frailty); sMMSE, RUDAS, MoCA (cognition); 4AT (delirium); timed-up-and-go (physical function); GDS-15 (mood); Barthel Index (functional status); and MUST (malnutrition).

conclusionsWe recommend clinicians delivering preoperative CGA consider the use of the MCDS we have constructed when assessing older people contemplating surgery, as part of a multicomponent and multidisciplinary approach to optimising perioperative outcomes.

Indexed as

ConsensusDelphi TechniqueGeriatric AssessmentAgedAged, 80 and overAge FactorsAustraliaFemaleFrailtyFunctional StatusHumansMaleNew ZealandPredictive Value of TestsPreoperative CareDelphi techniquegeriatric assessmentperioperative carepreoperative care

Identifiers

PMID38754868
PMCPMC11671713

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