Evidence map›Paper›PMID 39070515›Full record

ReviewCureus2024

Innovations in Hybrid Laparoscopic Surgery: Integrating Advanced Technologies for Multidisciplinary Cases.

Muhammad Junaid Cheema, Muhammad Mustaneer Ul Hassan, Aiman Asim, Eemaz Nathaniel, Mohamed Ishraq Shafeeq, Muhammad Abbas Tayyab, Cijal Rahim Valiyakath, Shenouda Abdallah, Ali Usman

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Muhammad Junaid CheemaGeneral Surgery, Sir Ganga Ram Hospital, Lahore, PAK.
Muhammad Mustaneer Ul HassanGeneral Surgery, Sir Ganga Ram Hospital, Lahore, PAK.
Aiman AsimMedicine and Surgery, Jinnah Postgraduate Medical Centre, Karachi, PAK.
Eemaz NathanielResearch, Harvard Medical School, Boston, USA.
Mohamed Ishraq ShafeeqSurgery, Vitebsk State Medical University, Vitebsk, BLR.
Muhammad Abbas TayyabSurgery, King Edward Medical University, Lahore, PAK.
Cijal Rahim ValiyakathMedicine, Guangxi Medical University, Nanning, CHN.
Shenouda AbdallahSurgery, Jaber Al-Ahmad Hospital, Kuwait, KWT.
Ali UsmanGeneral Surgery, Nishtar Medical University, Multan, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combining conventional laparoscopic techniques with cutting-edge technologies, such as robotics, improved imaging, and flexible equipment, hybrid laparoscopic techniques represent a revolutionary advancement in minimally invasive surgery. These methods have several benefits, such as increased accuracy, quicker healing periods, and fewer complications, which makes them especially useful in complicated multidisciplinary situations. The historical evolution, uses, benefits, and drawbacks of hybrid laparoscopic procedures are examined in this narrative review, which also covers urological, gastrointestinal, cardiothoracic, and gynecological surgery. The review focuses on how these methods promote interdisciplinary cooperation and creativity by enabling more accurate and successful surgical operations. It also discusses the equipment needs, integration difficulties, and technical difficulties that need to be resolved to reach the full potential of hybrid laparoscopic surgery. For hybrid laparoscopic procedures to become more widely used and effective in the future, there is a need for specialized training programs, interdisciplinary research collaborations, and ongoing technological advancements.

Indexed as

general surgeryhybrid laparoscopicmedicineprognosissurgery

Identifiers

PMID39070515
PMCPMC11279072

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.