Evidence map›Paper›PMID 28807385›Full record

ArticleJournal of vascular surgery2018

External validation of a 5-year survival prediction model after elective abdominal aortic aneurysm repair.

Randall R DeMartino, Ying Huang, Jay Mandrekar, Philip P Goodney, Gustavo S Oderich, Manju Kalra, Thomas C Bower, Jack L Cronenwett, Peter Gloviczki

Open access · greenAbstract readValidation Study
In one paragraph

Article in Journal of vascular surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 20 citations in OpenAlex.

  1. Observational
  2. Review
  3. Article
  4. Article
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

9 authors at 2 institutions in 1 country.

Randall R DeMartinoDivision of Vascular and Endovascular Surgery, Mayo Clinic, Rochester, Minn. Electronic address: demartino.randall@mayo.edu.
Ying HuangDivision of Vascular and Endovascular Surgery, Mayo Clinic, Rochester, Minn.
Jay MandrekarDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minn.
Philip P GoodneyDivision of Vascular Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
Gustavo S OderichDivision of Vascular and Endovascular Surgery, Mayo Clinic, Rochester, Minn.
Manju KalraDivision of Vascular and Endovascular Surgery, Mayo Clinic, Rochester, Minn.
Thomas C BowerDivision of Vascular and Endovascular Surgery, Mayo Clinic, Rochester, Minn.
Jack L CronenwettDivision of Vascular Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
Peter GloviczkiDivision of Vascular and Endovascular Surgery, Mayo Clinic, Rochester, Minn.
Mayo Clinic in Arizona · USDartmouth–Hitchcock Medical Center · US

Funding

Creating National Surveillance Infrastructure for Priority Medical DevicesU01FD005478 · FDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI SEDRAKYAN, ART · 2015 to 2019
$6.5M
FDA HHS U01 FD005478
6 · The paper itself

Abstract

objectiveThe benefit of prophylactic repair of abdominal aortic aneurysms (AAAs) is based on the risk of rupture exceeding the risk of death from other comorbidities. The purpose of this study was to validate a 5-year survival prediction model for patients undergoing elective repair of asymptomatic AAA <6.5 cm to assist in optimal selection of patients.

methodsAll patients undergoing elective repair for asymptomatic AAA <6.5 cm (open or endovascular) from 2002 to 2011 were identified from a single institutional database (validation group). We assessed the ability of a prior published Vascular Study Group of New England (VSGNE) model (derivation group) to predict survival in our cohort. The model was assessed for discrimination (concordance index), calibration (calibration slope and calibration in the large), and goodness of fit (score test).

resultsThe VSGNE derivation group consisted of 2367 patients (70% endovascular). Major factors associated with survival in the derivation group were age, coronary disease, chronic obstructive pulmonary disease, renal function, and antiplatelet and statin medication use. Our validation group consisted of 1038 patients (59% endovascular). The validation group was slightly older (74 vs 72 years; P < .01) and had a higher proportion of men (76% vs 68%; P < .01). In addition, the derivation group had higher rates of advanced cardiac disease, chronic obstructive pulmonary disease, and baseline creatinine concentration (1.2 vs 1.1 mg/dL; P < .01). Despite slight differences in preoperative patient factors, 5-year survival was similar between validation and derivation groups (75% vs 77%; P = .33). The concordance index of the validation group was identical between derivation and validation groups at 0.659 (95% confidence interval, 0.63-0.69). Our validation calibration in the large value was 1.02 (P = .62, closer to 1 indicating better calibration), calibration slope of 0.84 (95% confidence interval, 0.71-0.97), and score test of P = .57 (>.05 indicating goodness of fit).

conclusionsAcross different populations of patients, assessment of age and level of cardiac, pulmonary, and renal disease can accurately predict 5-year survival in patients with AAA <6.5 cm undergoing repair. This risk prediction model is a valid method to assess mortality risk in determining potential overall survival benefit from elective AAA repair.

Indexed as

AgedAge FactorsAorta, AbdominalAortic Aneurysm, AbdominalAsymptomatic DiseasesBlood Vessel Prosthesis ImplantationComorbidityDecision Support TechniquesElective Surgical ProceduresEndovascular ProceduresFemaleHeart DiseasesHospital MortalityHumansKaplan-Meier EstimateKidney Diseases

Identifiers

PMID28807385
PMCPMC6114131
OpenAlexW2750367511

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.