Evidence map›Paper›PMID 25154667›Full record

ArticleJournal of the American College of Surgeons2014

Can routine preoperative data predict adverse outcomes in the elderly? Development and validation of a simple risk model incorporating a chart-derived frailty score.

Levana G Amrock, Mark D Neuman, Hung-Mo Lin, Stacie Deiner

Registry-linked trialOpen access · greenAbstract readValidation Study
In one paragraph

Article in Journal of the American College of Surgeons, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04717869 (Identifying Modifiable PAtient Centered Therapeutics Frailty), which is not on this map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
5.9field-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.

NCT04717869 recruitingnot on this mapstarted 2023, after this paper: background citation

Identifying Modifiable PAtient Centered Therapeutics Frailty: An Observational Cohort Study

TypeobservationalSponsorUniversity of California, Los AngelesRan2023 to 2026Enrolled250ConditionsFrailty, SarcopeniaArmsUltrasound, Biomarker Analysis, Frailty Index
3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 87 citations in OpenAlex.

  1. Arquivos brasileiros de cardiologia · 2017
    Guideline
  2. Guideline
  3. Trial
  4. Article
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  7. The Clinical Frailty Scale (CFS) as an Independent Prognostic Factor for Patients ≥80 Years with Small Bowel Obstruction (SBO).Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2023
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  15. Early Outcomes After Surgical Management of Geriatric Patella Fractures.Geriatric orthopaedic surgery & rehabilitation · 2021
    Article
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  19. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Levana G AmrockDepartment of Anesthesiology, Icahn School of Medicine at Mount Sinai, New York, NY.
Mark D NeumanDepartment of Anesthesiology and Critical Care, The University of Pennsylvania, Philadelphia, PA.
Hung-Mo LinDepartment of Health Evidence and Policy, Icahn School of Medicine at Mount Sinai, New York, NY.
Stacie DeinerDepartment of Anesthesiology, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Geriatrics and Palliative Care, Icahn School of Medicine at Mount Sinai, New York, NY. Electronic address: stacie.deiner@mountsinai.org.
Icahn School of Medicine at Mount Sinai · USUniversity of Pennsylvania · US

Funding

Perioperative Cognitive Protection-Dexmedetomidine and Cognitive ReserveR01AG029656 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SILVERSTEIN, JEFFREY H · 2007 to 2011
$2.6M
Understanding Variations in Hip Fracture Outcomes across the Continuum of CareK08AG043548 · NIA · UNIVERSITY OF PENNSYLVANIA · PI NEUMAN, MARK DAVID · 2012 to 2016
$642k
The geriatric surgical patient: stress, anesthetics, and functional outcomesR03AG040624 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DEINER, STACIE · 2011 to 2012
$170k
NIA NIH HHS K08 AG043548NIA NIH HHS K08AG043548-01NIA NIH HHS R01 AG029656NIA NIH HHS R01 AG029656-01A1NIA NIH HHS R03 AG040624NIA NIH HHS R03 AG040624-01
6 · The paper itself

Abstract

backgroundFrailty has emerged as an important predictor of operative risk among elderly surgical patients. However, the complexity of prospective frailty scores has limited their widespread use. Our goal was to develop two frailty-based surgical risk models using only routine preoperative data. Our hypothesis was that these models could easily integrate into an electronic medical record to predict 30-day morbidity and mortality. STUDY

designAmerican College of Surgeons NSQIP Participant Use Data Files from 2005 to 2010 were reviewed, and patients 65 years and older who underwent elective lower gastrointestinal surgery were identified. Two multivariate logistic regression models were constructed and internally cross-validated. The first included simple functional data, a comorbidity index based on the Charlson Comorbidity Index, demographics, BMI, and laboratory data (ie, albumin <3.4 g/dL, hematocrit <35%, and creatinine >2 mg/dL). The second model contained only parameters that can directly autopopulate from an electronic medical record (ie, demographics, laboratory data, BMI, and American Society of Anesthesiologists score). To assess diagnostic accuracy, receiver operating characteristic curves were constructed.

resultsThere were 76,106 patients who met criteria for inclusion. Thirty-day mortality was seen in 2,853 patients or 3.7% of the study population and 18,436 patients (24.2%) experienced a major complication. The c-statistic of the first expanded model was 0.813 for mortality and 0.629 for morbidity. The second simplified model had a c-statistic of 0.795 for mortality and 0.621 for morbidity. Both models were well calibrated per the Hosmer-Lemeshow test.

conclusionsOur work demonstrates that routine preoperative data can approximate frailty and predict geriatric-specific surgical risk. The models' predicative powers were comparable with that of established prospective frailty scores. Our calculator could be used as a low-cost simple screen for high-risk individuals who might require additional evaluation or specialized services.

Indexed as

Patient SelectionAgedAged, 80 and overElectronic Health RecordsFemaleFrail ElderlyGeriatric AssessmentHospital MortalityHumansMaleMorbidityPostoperative ComplicationsPreoperative PeriodReproducibility of ResultsRetrospective StudiesRisk Assessment

Identifiers

PMID25154667
PMCPMC4171218
OpenAlexW2126094287

What OpenQuestion holds

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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.