Evidence map›Paper›PMID 40271054›Full record

ReviewFrontiers in surgery2025

Quantifying lens obstructions in minimally invasive surgery: the impact on performance and outcomes.

Maciej Łącki, Megha Kalia, Nidhi Abraham, Sukesh Adiga Vasudeva, Dicken S C Ko, Timothée Bernard, Amy Lorincz

Abstract readReview
In one paragraph

Review in Frontiers in surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Maciej ŁąckiDepartment of Research and Development, vopemed, Montreal, QC, Canada.
Megha KaliaDepartment of Research and Development, vopemed, Montreal, QC, Canada.
Nidhi AbrahamDepartment of Research and Development, vopemed, Montreal, QC, Canada.
Sukesh Adiga VasudevaDepartment of Research and Development, vopemed, Montreal, QC, Canada.
Dicken S C KoDepartment of Surgery, The Warren Alpert Medical School of Brown University, Providence, RI, United States.
Timothée BernardDepartment of Research and Development, vopemed, Montreal, QC, Canada.
Amy LorinczDepartment of Research and Development, vopemed, Montreal, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgeons performing laparoscopic surgery depend primarily on their vision to operate, but it often gets obstructed by fog, smoke, and other debris. This mini-review examines the literature on lens obstruction, aiming to quantify its prevalence, identify factors affecting its frequency, evaluate its impacts on surgeons and patients, and present an overview of mitigation methods. The review reveals that there are typically between 3.5-15 lens obstruction events per procedure, and surgeons spend between 19% and 52% of the procedure with suboptimal vision. Additionally, 2% to 8% of the operating time is devoted to cleaning the scope. Factors influencing the frequency of lens obstructions include instrument selection, operating time, and surgeon experience. Lens obstructions may increase operating time, the risk of medical errors, and mental fatigue, though quantifiable results on this subject remain sparse. The review also highlights significant knowledge gaps in the field of lens obstructions during minimally invasive procedures and proposes several recommendations to accelerate research in this area.

Indexed as

laparoscopylens cleaninglens fogginglens occlusionoperating timerobot assisted surgerysurgical performancesurgical visualization

Identifiers

PMID40271054
PMCPMC12014707

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.