Evidence map›Paper›PMID 35732384›Full record

ArticleBMJ open2022

Functional Improvement Trajectories After Surgery (FIT After Surgery) study: protocol for a multicentre prospective cohort study to evaluate significant new disability after major surgery in older adults.

Duminda N Wijeysundera, Shabbir M H Alibhai, Karim S Ladha, Martine T E Puts, Tyler R Chesney, Julian F Daza, Sahar Ehtesham, Emily Hladkowicz, Gerald Lebovic, C David Mazer and 4 more

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

14 authors.

Duminda N WijeysunderaDepartment of Anesthesia, St Michael's Hospital, Toronto, Ontario, Canada d.wijeysundera@utoronto.ca.ORCID 0000-0002-5897-8605
Shabbir M H AlibhaiInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Karim S LadhaDepartment of Anesthesia, St Michael's Hospital, Toronto, Ontario, Canada.
Martine T E PutsLawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada.
Tyler R ChesneyDivision of General Surgery, Unity Health Toronto, Toronto, Ontario, Canada.
Julian F DazaInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-4486-9571
Sahar EhteshamApplied Health Research Centre, St Michael's Hospital, Toronto, Ontario, Canada.
Emily HladkowiczDepartment of Anesthesiology and Pain Medicine, Ottawa Hospital, Ottawa, Ontario, Canada.
Gerald LebovicInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-3540-3339
C David MazerDepartment of Anesthesia, St Michael's Hospital, Toronto, Ontario, Canada.
Janet M van VlymenDepartment of Anesthesiology and Perioperative Medicine, Queen's University, Kingston, Ontario, Canada.
Alice C WeiDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Daniel I McIsaacDepartment of Anesthesiology and Pain Medicine, Ottawa Hospital, Ottawa, Ontario, Canada.ORCID 0000-0002-8543-1859
FIT After Surgery Investigators

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

introductionOlder adults prioritise surviving surgery, but also preservation of their functional status and quality of life. Current approaches to measure postoperative recovery, which focus on death, complications and length of hospitalisation, may miss key relevant domains. We propose that postoperative disability is an important patient-centred outcome to measure intermediate-to-long recovery after major surgery in older adults. METHODS AND ANALYSIS: The Functional Improvement Trajectories After Surgery (FIT After Surgery) study is a multicentre cohort study of 2000 older adults (≥65 years) having major non-cardiac surgery. Its objectives are to characterise the incidence, trajectories, risk factors and impact of new significant disability after non-cardiac surgery. Disability is assessed using WHO Disability Assessment Schedule (WHODAS) 2.0 instrument and participants' level-of-care needs. Disability assessments occur before surgery, and at 1, 3, 6, 9 and 12 months after surgery. The primary outcome is significantly worse WHODAS score or death at 6 months after surgery. Secondary outcomes are (1) significantly worse WHODAS score or death at 1 year after surgery, (2) increased care needs or death at 6 months after surgery and (3) increased care needs or death at 1 year after surgery. We will use multivariable logistic regression models to determine the association of preoperative characteristics and surgery type with outcomes, joint modelling to characterise longitudinal time trends in WHODAS scores over 12 months after surgery, and longitudinal latent class mixture models to identify clusters following similar trajectories of disability. ETHICS AND DISSEMINATION: The FIT After Surgery study has received research ethics board approval at all sites. Recruitment began in December 2019 but was placed on hold in March 2020 because of the COVID-19 pandemic. Recruitment was gradually restarted in October 2020, with 1-year follow-up expected to finish in 2023. Publication of the primary results is anticipated to occur in 2024.

Indexed as

COVID-19Quality of LifeAgedCohort StudiesHumansMulticenter Studies as TopicPandemicsProspective Studiesadult anaesthesiageriatric medicinequalitative researchsurgery

Identifiers

PMID35732384
PMCPMC9226941

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.