Evidence map›Paper›PMID 35562684›Full record

ArticleBMC geriatrics2022

Defining ICD-10 surrogate variables to estimate the modified frailty index: a Delphi-based approach.

Ashwin Subramaniam, Ryo Ueno, Ravindranath Tiruvoipati, Jai Darvall, Velandai Srikanth, Michael Bailey, David Pilcher, Rinaldo Bellomo

Registry-linked trialAbstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07166861 (Supporting Practices In Respecting Elders Phase 2), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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.

NCT07166861 narecruitingnot on this mapstarted 2026, after this paper: background citation

Supporting Practices In Respecting Elders Phase 2

TypeinterventionalSponsorMassachusetts General HospitalRan2026 to 2030Enrolled6,080ConditionsAging, Preventive Care, Multimorbidity, Palliative CareArmsAnnual Wellness Visit, Annual Wellness Visits + Geriatric Resources and Assessment for the Care of Elders (AWV + GRACE)
3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
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  8. Predictive ability of frailty scores in surgically managed patients with traumatic spinal injuries: a TQIP analysis.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Article
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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

8 authors.

Ashwin SubramaniamDepartment of Intensive Care, Peninsula Health, Frankston, Victoria, Australia. ashwin.subramaniam@monash.edu.ORCID 0000-0002-8292-7357
Ryo UenoAustralian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Ravindranath TiruvoipatiDepartment of Intensive Care, Peninsula Health, Frankston, Victoria, Australia.
Jai DarvallDepartment of Intensive Care, Royal Melbourne Hospital, Melbourne, Victoria, Australia.
Velandai SrikanthPeninsula Clinical School, Monash University, Frankston, Victoria, Australia.
Michael BaileyAustralian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
David PilcherAustralian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Rinaldo BellomoAustralian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are currently no validated globally and freely available tools to estimate the modified frailty index (mFI). The widely available and non-proprietary International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) coding could be used as a surrogate for the mFI. We aimed to establish an appropriate set of the ICD-10 codes for comorbidities to be used to estimate the eleven-variable mFI.

methodsA three-stage, web-based, Delphi consensus-building process among a panel of intensivists and geriatricians using iterative rounds of an online survey, was conducted between March and July 2021. The consensus was set a priori at 75% overall agreement. Additionally, we assessed if survey responses differed between intensivists and geriatricians. Finally, we ascertained the level of agreement.

resultsA total of 21 clinicians participated in all 3 Delphi surveys. Most (86%, 18/21) had more than 5-years' experience as specialists. The agreement proportionately increased with every Delphi survey. After the third survey, the panel had reached 75% consensus in 87.5% (112/128) of ICD-10 codes. The initially included 128 ICD-10 variables were narrowed down to 54 at the end of the 3 surveys. The inter-rater agreements between intensivists and geriatricians were moderate for surveys 1 and 3 (κ = 0.728, κ = 0.780) respectively, and strong for survey 2 (κ = 0.811).

conclusionsThis quantitative Delphi survey of a panel of experienced intensivists and geriatricians achieved consensus for appropriate ICD-10 codes to estimate the mFI. Future studies should focus on validating the mFI estimated from these ICD-10 codes.

trial registrationNot applicable.

Indexed as

FrailtyInternational Classification of DiseasesConsensusDelphi TechniqueHumansSurveys and QuestionnairesdefinitionICD-10 codesInternational Statistical Classification of Diseases and Related Health Problems Tenth RevisionmFImodified frailty index

Identifiers

PMID35562684
PMCPMC9107186

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Registered trials

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.