Evidence map›Paper›PMID 24887981›Full record

ArticleAnnals of surgery2015

Geriatric Assessment as a Predictor of Delirium and Other Outcomes in Elderly Patients With Cancer.

Beatriz Korc-Grodzicki, Sung W Sun, Qin Zhou, Alexia Iasonos, Bryan Lu, James C Root, Robert J Downey, William P Tew

Open access · greenAbstract read
In one paragraph

Article in Annals of surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
5.8field-weighted citation impact, top 3% of its field
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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 93 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Impact of CGA and Surgical Risk Calculator before elective cancer surgery on postoperative delirium in elderly patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Observational
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  16. Toward Modernization of Geriatric Oncology by Digital Health Technologies.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2020
    Article
  17. Quality of care in hospitalized cancer patients before and after implementation of a systematic prevention program for delirium: the DELTA exploratory trial.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2019
    Article
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  20. Enhanced Recovery After Surgery: Hepatobiliary.The Surgical clinics of North America · 2018
    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

8 authors at 1 institution in 1 country.

Beatriz Korc-Grodzicki*Geriatrics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY †Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY ‡Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY §Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY; and ¶Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Sung W Sun
Qin Zhou
Alexia Iasonos
Bryan Lu
James C Root
Robert J Downey
William P Tew
Memorial Sloan Kettering Cancer Center · US

Funding

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

Abstract

objectiveThis study aimed to describe the implementation of preoperative geriatric assessment (GA) in patients undergoing major cancer surgery and to determine predictors of postoperative delirium.

backgroundGeriatric surgical patients have unique vulnerabilities and are at increased risk of developing postoperative delirium.

methodsGeriatricians at Memorial Sloan Kettering Cancer Center risk-stratify surgical patients with solid tumors, ages 75 years and older, using preoperative GA, which includes basic and instrumental activities of daily living (ADLs, IADLs), cognition (Mini-Cog test), history of falls, nutritional state, and comorbidities (Charlson Comorbidity Index). The Geriatrics Service evaluates patients for postoperative delirium using the confusion assessment method. A retrospective review was performed. The associations between GA and postoperative outcomes were evaluated. Univariate logistic regression analysis was performed to determine the predictive value of GA for postoperative delirium, and a multivariate model was built.

resultsIn total, 416 patients who received preoperative evaluation by the Geriatrics Service between September 1, 2010, and December 31, 2011, were included. Delirium occurred in 19% of patients. Patients with delirium had longer length of hospital stay (P < 0.001) and greater likelihood of discharge to a rehabilitation facility (P < 0.001). Charlson Comorbidity Index score, history of falls, dependent on IADL, and abnormal Mini-Cog test results predicted postoperative delirium on univariate analysis. Developed using a stepwise selection method, a multivariate model to predict delirium is presented including Charlson Comorbidity Index score (P = 0.032), dependence IADLs (P = 0.011), and falls history (P = 0.056).

conclusionsPreoperative GA is feasible and may achieve a better understanding of older patients' perioperative risks, including delirium.

Indexed as

Geriatric AssessmentAgedAged, 80 and overAge FactorsDeliriumFeasibility StudiesFemaleHumansMaleNeoplasmsPostoperative ComplicationsPredictive Value of TestsPreoperative CareRetrospective StudiesRisk AssessmentRisk Factors

Identifiers

PMID24887981
PMCPMC4837653
OpenAlexW2497784530

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.