Evidence map›Paper›PMID 28856335›Full record

ArticleEJVES short reports2017

Body Mass Index and Operating Times in Vascular Procedures.

M Durup-Dickenson, C W Nicolajsen, J Budtz-Lilly, J Laustsen, N Eldrup

Abstract read
In one paragraph

Article in EJVES short reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

M Durup-DickensonDepartment of Cardio-Thoracic and Vascular Surgery, Aarhus University Hospital, Palle Juul-Jensen Boulevard 99, Aarhus N, 8200, Denmark.
C W NicolajsenDepartment of Cardio-Thoracic and Vascular Surgery, Aarhus University Hospital, Palle Juul-Jensen Boulevard 99, Aarhus N, 8200, Denmark.
J Budtz-LillyDepartment of Cardio-Thoracic and Vascular Surgery, Aarhus University Hospital, Palle Juul-Jensen Boulevard 99, Aarhus N, 8200, Denmark.
J LaustsenDepartment of Cardio-Thoracic and Vascular Surgery, Aarhus University Hospital, Palle Juul-Jensen Boulevard 99, Aarhus N, 8200, Denmark.
N EldrupDepartment of Cardio-Thoracic and Vascular Surgery, Aarhus University Hospital, Palle Juul-Jensen Boulevard 99, Aarhus N, 8200, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe influence of body mass index (BMI) on operating times in central and peripheral vascular surgical procedures was investigated. REPORT: A national cohort of Danish patients who underwent a vascular procedure between 1983 and 2012 was used for analysis. Data were analysed with pairwise comparisons of BMI groups for operating times using the independent samples Kruskall-Wallis test. DISCUSSION: A total of 3,255 carotid endarterectomies; 6,885 central vascular procedures; and 4,488 peripheral bypasses were included for the analysis. Median operating times for carotid endarterectomy and central vascular procedures were, respectively, 5 and 15 minutes longer in obese patients than in normal weight patients. This represents a 7% and 10% increase in median operating times, respectively. Linear and multi-adjusted linear regressions were conducted adjusting for confounders, showing a significant correlation between BMI and operating time. Obesity significantly increased the operating times in carotid endarterectomy and central vascular procedures. These may have ramifications for the individual operative stress but not necessarily on logistical operation planning.

Indexed as

Body mass index (BMI)ObesityOperating timeSurgeryVascular surgical procedures

Identifiers

PMID28856335
PMCPMC5576233

What OpenQuestion holds

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Registered trials

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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.