Evidence map›Paper›PMID 20526819›Full record

ArticleInternational journal of computer assisted radiology and surgery2011

Analysis of surgical intervention populations using generic surgical process models.

Thomas Neumuth, Pierre Jannin, Juliane Schlomberg, Jürgen Meixensberger, Peter Wiedemann, Oliver Burgert

Open access · greenAbstract readComparative Study
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
8.6field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Interactive visual exploration of surgical process data.International journal of computer assisted radiology and surgery · 2023
    Article
  7. Using Unified Modeling Language to Analyze Business Processes in the Delivery of Child Health Services.International journal of environmental research and public health · 2022
    Article
  8. Measuring and evaluating standardization of scrub nurse instrument table setups: a multi-center study.International journal of computer assisted radiology and surgery · 2022
    Article
  9. Toward a standard ontology of surgical process models.International journal of computer assisted radiology and surgery · 2018
    Article
  10. Surgical process modeling.Innovative surgical sciences · 2017
    Review
  11. The application of surgical procedure manager (SPM): first experience with FESS.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2017
    Article
  12. Paradigm shift: cognitive surgery.Innovative surgical sciences · 2017
    Review
  13. Article
  14. Online time and resource management based on surgical workflow time series analysis.International journal of computer assisted radiology and surgery · 2017
    Article
  15. Phase Segmentation Methods for an Automatic Surgical Workflow Analysis.International journal of biomedical imaging · 2017
    Article
  16. Bridging the gap between formal and experience-based knowledge for context-aware laparoscopy.International journal of computer assisted radiology and surgery · 2016
    Article
  17. Article
  18. Work domain constraints for modelling surgical performance.International journal of computer assisted radiology and surgery · 2015
    Article
  19. LapOntoSPM: an ontology for laparoscopic surgeries and its application to surgical phase recognition.International journal of computer assisted radiology and surgery · 2015
    Article
  20. Intra-operative surgical instrument usage detection on a multi-sensor table.International journal of computer assisted radiology and surgery · 2015
    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

6 authors at 3 institutions in 2 countries.

Thomas NeumuthInnovation Center Computer Assisted Surgery, Universität Leipzig, Leipzig, Germany. thomas.neumuth@medizin.uni-leipzig.de
Pierre Jannin
Juliane Schlomberg
Jürgen Meixensberger
Peter Wiedemann
Oliver Burgert
Leipzig University · DEUniversity Hospital Leipzig · DECentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAccording to differences in patient characteristics, surgical performance, or used surgical technological resources, surgical interventions have high variability. No methods for the generation and comparison of statistical 'mean' surgical procedures are available. The convenience of these models is to provide increased evidence for clinical, technical, and administrative decision-making.

methodsBased on several measurements of patient individual surgical treatments, we present a method of how to calculate a statistical 'mean' intervention model, called generic Surgical Process Model (gSPM), from a number of interventions. In a proof-of-concept study, we show how statistical 'mean' procedure courses can be computed and how differences between several of these models can be quantified. Patient individual surgical treatments of 102 cataract interventions from eye surgery were allocated to an ambulatory or inpatient sample, and the gSPMs for each of the samples were computed. Both treatment strategies are exemplary compared for the interventional phase Capsulorhexis.

resultsStatistical differences between the gSPMs of ambulatory and inpatient procedures of performance times for surgical activities and activity sequences were identified. Furthermore, the work flow that corresponds to the general recommended clinical treatment was recovered out of the individual Surgical Process Models.

conclusionThe computation of gSPMs is a new approach in medical engineering and medical informatics. It supports increased evidence, e.g. for the application of alternative surgical strategies, investments for surgical technology, optimization protocols, or surgical education. Furthermore, this may be applicable in more technical research fields, as well, such as the development of surgical workflow management systems for the operating room of the future.

Indexed as

Cataract ExtractionDecision Making, OrganizationalModels, OrganizationalTechnology Assessment, BiomedicalAgedFemaleHumansMale

Identifiers

PMID20526819
PMCPMC3313911
OpenAlexW1985479146

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.