Evidence map›Paper›PMID 25701196›Full record

ReviewLangenbeck's archives of surgery2015

Computer-assisted abdominal surgery: new technologies.

H G Kenngott, M Wagner, F Nickel, A L Wekerle, A Preukschas, M Apitz, T Schulte, R Rempel, P Mietkowski, F Wagner and 2 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Langenbeck's archives of surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. [Robotics and computer-assisted surgery].Chirurgie (Heidelberg, Germany) · 2023
    Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. [Artificial intelligence in pediatric surgery : Present and future].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2020
    Review
  20. A Multimodal Pancreas Phantom for Computer-Assisted Surgery Training.IEEE open journal of engineering in medicine and biology · 2020
    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

12 authors at 1 institution in 1 country.

H G KenngottDepartment of General, Abdominal and Transplant Surgery, Ruprecht-Karls-University, Heidelberg, Germany.
M Wagner
F Nickel
A L Wekerle
A Preukschas
M Apitz
T Schulte
R Rempel
P Mietkowski
F Wagner
A Termer
Beat P Müller-Stich
Heidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputer-assisted surgery is a wide field of technologies with the potential to enable the surgeon to improve efficiency and efficacy of diagnosis, treatment, and clinical management. PURPOSE: This review provides an overview of the most important new technologies and their applications.

methodsA MEDLINE database search was performed revealing a total of 1702 references. All references were considered for information on six main topics, namely image guidance and navigation, robot-assisted surgery, human-machine interface, surgical processes and clinical pathways, computer-assisted surgical training, and clinical decision support. Further references were obtained through cross-referencing the bibliography cited in each work. Based on their respective field of expertise, the authors chose 64 publications relevant for the purpose of this review.

conclusionComputer-assisted systems are increasingly used not only in experimental studies but also in clinical studies. Although computer-assisted abdominal surgery is still in its infancy, the number of studies is constantly increasing, and clinical studies start showing the benefits of computers used not only as tools of documentation and accounting but also for directly assisting surgeons during diagnosis and treatment of patients. Further developments in the field of clinical decision support even have the potential of causing a paradigm shift in how patients are diagnosed and treated.

Indexed as

AbdomenAnimalsComputer SimulationErgonomicsHumansMachine LearningProcess Assessment, Health CareSurgery, Computer-AssistedUser-Computer Interface

Identifiers

PMID25701196
OpenAlexW2031881232

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.