Evidence map›Paper›PMID 31839861›Full record

ArticleThe Neurohospitalist2020

A Multilevel Analysis of Surgical Category and Individual Patient-Level Risk Factors for Postoperative Stroke.

Benjamin R Kummer, Rebecca Hazan, Alexander E Merkler, Hooman Kamel, Joshua Z Willey, William Middlesworth, Shadi Yaghi, Randolph S Marshall, Mitchell S V Elkind, Amelia K Boehme

Open access · bronzeAbstract read
In one paragraph

Article in The Neurohospitalist, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 5 institutions in 1 country.

Benjamin R KummerDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Rebecca HazanSchool of Public Health, University of Michigan, Ann Arbor, MI, USA.
Alexander E MerklerDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Hooman KamelDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Joshua Z WilleyDepartment of Neurology, College of Physicians & Surgeons, Columbia University, New York, NY, USA.
William MiddlesworthDepartment of Surgery, College of Physicians & Surgeons, Columbia University, New York, NY, USA.
Shadi YaghiDepartment of Neurology, Warren Alpert School of Medicine, Brown University, Providence, RI, USA.
Randolph S MarshallDepartment of Neurology, College of Physicians & Surgeons, Columbia University, New York, NY, USA.
Mitchell S V ElkindDepartment of Neurology, College of Physicians & Surgeons, Columbia University, New York, NY, USA.
Amelia K BoehmeDepartment of Neurology, College of Physicians & Surgeons, Columbia University, New York, NY, USA.
Columbia University · USCornell University · USBrown University · USIcahn School of Medicine at Mount Sinai · USUniversity of Michigan–Ann Arbor · US

Funding

Atrial Fibrillation Precursors May Be Novel Stroke Risk FactorsK23NS082367 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KAMEL, HOOMAN · 2013 to 2017
$937k
NINDS NIH HHS K23 NS082367
6 · The paper itself

Abstract

background and purposeMany studies supporting the association between specific surgical procedure categories and postoperative stroke (POS) do not account for differences in patient-level characteristics between and within surgical categories. The risk of POS after high-risk procedure categories remains unknown after adjusting for such differences in patient-level characteristics.

methodsUsing inpatients in the American College of Surgeons National Surgical Quality Initiative Program database, we conducted a retrospective cohort study between January 1, 2000, and December 31, 2010. Our primary outcome was POS within 30 days of surgery. We characterized the relationship between surgical- and individual patient-level factors and POS by using multivariable, multilevel logistic regression that accounted for clustering of patient-level factors with surgical categories.

resultsWe identified 729 886 patients, 2703 (0.3%) of whom developed POS. Dependent functional status (odds ratio [OR]: 4.11, 95% confidence interval [95% CI]: 3.60-4.69), history of stroke (OR: 2.35, 95%CI: 2.06-2.69) or transient ischemic attack (OR: 2.49 95%CI: 2.19-2.83), active smoking (OR: 1.20, 95%CI: 1.08-1.32), hypertension (OR: 2.11, 95%CI: 2.19-2.82), chronic obstructive pulmonary disease (OR: 1.39 95%CI: 1.21-1.59), and acute renal failure (OR: 2.35, 95%CI: 1.85-2.99) were significantly associated with POS. After adjusting for clustering, patients who underwent cardiac (OR: 11.25, 95%CI: 8.52-14.87), vascular (OR: 4.75, 95%CI: 3.88-5.82), neurological (OR: 4.60, 95%CI: 3.48-6.08), and general surgery (OR: 1.40, 95%CI: 1.15-1.70) had significantly greater odds of POS compared to patients undergoing other types of surgical procedures.

conclusionsVascular, cardiac, and neurological surgery remained strongly associated with POS in an analysis accounting for the association between patient-level factors and surgical categories.

Indexed as

cerebrovascular disordersclinical specialtycluster analysisoutcomespostoperative strokestrokestroke and cerebrovascular diseasetechniques

Identifiers

PMID31839861
PMCPMC6900661
OpenAlexW2944728073

What OpenQuestion holds

Textmetadata
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.