Evidence map›Paper›PMID 31699673›Full record

ArticleJournal of geriatric oncology2020

A novel geriatric assessment tool that predicts postoperative complications in older adults with cancer.

YaoYao Pollock, Chiao-Li Chan, Karen Hall, Michael Englesbe, Kathleen M Diehl, Lillian Min

Abstract read
In one paragraph

Article in Journal of geriatric oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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

6 authors.

YaoYao PollockDivision of Hematology and Oncology, University of California San Francisco, San Francisco, CA, USA. Electronic address: yaoyao.pollock@ucsf.edu.
Chiao-Li ChanDivision of Geriatric & Palliative Medicine, University of Michigan, Ann Arbor, MI, USA.
Karen HallDivision of Geriatric & Palliative Medicine, University of Michigan, Ann Arbor, MI, USA.
Michael EnglesbeDepartment of Surgery, University of Michigan, Ann Arbor, MI, USA.
Kathleen M DiehlDepartment of Surgery, University of Michigan, Ann Arbor, MI, USA.
Lillian MinDivision of Geriatric & Palliative Medicine, University of Michigan, Ann Arbor, MI, USA; Geriatric Research Education and Clinical Center (GRECC), Ann Arbor VA Healthcare System, Ann Arbor, MI, USA.

Funding

Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
RESEARCH TRAINING IN GERIATRIC MEDICINET32AG000212 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alexander Keliimoeanu Smith · 1991 to 2026
$7.7M
NIA NIH HHS P30 AG024824NIA NIH HHS T32 AG000212
6 · The paper itself

Abstract

introductionComprehensive geriatric assessment prior to oncologic surgery can help predict surgical outcomes. We tested whether an abbreviated geriatric assessment tool, the Vulnerable Elderly Surgical Pathways and outcomes Assessment (VESPA), would predict post-operative complications among older adults undergoing oncologic surgery.

methodFrom 2008 to 2011, geriatric assessments were completed using the VESPA tool for patients age ≥ 70 seen in a pre-operative clinic. The VESPA assessed functional status, mood, cognition, and mobility, and can be completed in <10 min. We selected the subset of patients who underwent oncologic surgery and evaluated the VESPA's ability to predict post-operative surgical complications, geriatric complications (e.g., delirium), length of stay, and geriatric post-discharge needs (e.g., new functional dependence).

resultsA total of 476 patients who underwent oncologic surgery received the assessment using VESPA. Compared to patients with low VESPA scores (<9), patients with high VESPA scores (≥9) had longer length of stay (mean 6.6 vs. 2.0 days; p < .001), more geriatric complications (39.5% vs. 5.7%; p < .001), more surgical complications (29.5% vs. 11.8%; p < .001), and more likely to have post discharge needs (76.0% vs. 31.7%; p < .001). Using logistic regression, each additional point on the VESPA scale was also associated with increased probability of geriatric complications (OR = 1.3; 95% CI = 1.2-1.4), surgical complications (OR = 1.2; 95% CI = 1.1-1.2), and geriatric post-discharge needs (OR = 1.3; 95% CI = 1.2-1.3).

conclusionThe VESPA identifies older patients with cancer who are at risk for postoperative surgical and geriatric complications as well as functional needs at hospital discharge.

Indexed as

Geriatric AssessmentNeoplasmsPostoperative ComplicationsAftercareAgedAge FactorsHumansLength of StayMalePatient DischargePostural BalancePredictive Value of TestsTime and Motion StudiesFunctional declineGeriatric assessmentGeriatric complicationsPostoperative complications

Identifiers

PMID31699673
PMCPMC7196495

What OpenQuestion holds

Textmetadata
LicenceTDM
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.