Evidence map›Paper›PMID 27203150›Full record

ArticleJournal of neurosurgery2017

Comparison of clipping and coiling in elderly patients with unruptured cerebral aneurysms.

Kimon Bekelis, Daniel J Gottlieb, Yin Su, A James O'Malley, Nicos Labropoulos, Philip Goodney, Michael T Lawton, Todd A MacKenzie

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of neurosurgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
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  7. Observational
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  13. Unruptured Cerebral Aneurysms in Elderly Patients.Neurologia medico-chirurgica · 2017
    Review
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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

8 authors at 4 institutions in 1 country.

Kimon BekelisSections of 1 Neurosurgery and.
Daniel J GottliebThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon.
Yin SuThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon.
A James O'MalleyThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon.
Nicos LabropoulosDepartment of Radiology, Stony Brook University Medical Center, Stony Brook, New York; and.
Philip GoodneyVascular Surgery;
Michael T LawtonDepartment of Neurosurgery, University of California, San Francisco Medical Center, San Francisco, California.
Todd A MacKenzieDepartments of 8 Medicine and.
Dartmouth College · USDartmouth–Hitchcock Medical Center · USStony Brook University Hospital · USUniversity of California San Francisco Medical Center · US

Funding

UNDERSTANDING AND IMPROVING EPISODE-BASED HOSPITAL CAREP01AG019783 · NIA · DARTMOUTH COLLEGE · PI Alistair James O'MALLEY · 2001 to 2026
$52.9M
SYNERGY: The Dartmouth Center for clinical and Translational ScienceUL1TR001086 · NCATS · DARTMOUTH COLLEGE · PI GREEN, ALAN I · 2013 to 2017
$18.3M
Technology Diffusion, Health Outcomes, and Healthcare ExpendituresU01AG046830 · NIA · DARTMOUTH COLLEGE · PI SKINNER, JONATHAN S · 2013 to 2017
$4.5M
NCATS NIH HHS UL1 TR001086NIA NIH HHS P01 AG019783NIA NIH HHS U01 AG046830
6 · The paper itself

Abstract

OBJECTIVE The comparative effectiveness of the 2 treatment options-surgical clipping and endovascular coiling-for unruptured cerebral aneurysms remains an issue of debate and has not been studied in clinical trials. The authors investigated the association between treatment method for unruptured cerebral aneurysms and outcomes in elderly patients. METHODS The authors performed a cohort study of 100% of Medicare fee-for-service claims data for elderly patients who had treatment for unruptured cerebral aneurysms between 2007 and 2012. To control for measured confounding, the authors used propensity score conditioning and inverse probability weighting with mixed effects to account for clustering at the level of the hospital referral region (HRR). An instrumental variable (regional rates of coiling) analysis was used to control for unmeasured confounding and to create pseudo-randomization on the treatment method. RESULTS During the study period, 8705 patients underwent treatment for unruptured cerebral aneurysms and met the study inclusion criteria. Of these patients, 2585 (29.7%) had surgical clipping and 6120 (70.3%) had endovascular coiling. Instrumental variable analysis demonstrated no difference between coiling and clipping in 1-year postoperative mortality (OR 1.25, 95% CI 0.68-2.31) or 90-day readmission rate (OR 1.04, 95% CI 0.66-1.62). However, clipping was associated with a greater likelihood of discharge to rehabilitation (OR 6.39, 95% CI 3.85-10.59) and 3.6 days longer length of stay (LOS; 95% CI 2.90-4.71). The same associations were present in propensity score-adjusted and inverse probability-weighted models. CONCLUSIONS In a cohort of Medicare patients, there was no difference in mortality and the readmission rate between clipping and coiling of unruptured cerebral aneurysms. Clipping was associated with a higher rate of discharge to a rehabilitation facility and a longer LOS.

Indexed as

Endovascular ProceduresAgedAged, 80 and overCohort StudiesComorbidityComparative Effectiveness ResearchFemaleHumansIntracranial AneurysmLength of StayMaleMedicareNeurosurgical ProceduresPatient ReadmissionSurvival AnalysisTreatment OutcomeAD = adjusted differencecerebral aneurysmsclippingcoilingFFS = fee-for-serviceHRR = hospital referral regioninstrumental variableIPW = inverse probability weightingISAT = International Subarachnoid Aneurysm TrialIV = instrumental variableLOS = length of stayMedicarevascular disordersZIP = Zone Improvement Plan

Identifiers

PMID27203150
PMCPMC5116411
OpenAlexW2394749873

What OpenQuestion holds

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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.