Evidence map›Paper›PMID 33770240›Full record

ArticleWorld journal of surgery2021

Application of Real-Time Augmented Reality Laparoscopic Navigation in Splenectomy for Massive Splenomegaly.

Hai-Su Tao, Jin-Yu Lin, Wang Luo, Rui Chen, Wen Zhu, Chi-Hua Fang, Jian Yang

Abstract read
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In one paragraph

Article in World journal of surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. A High-Speed Hyperspectral Laparoscopic Imaging System.Proceedings of SPIE--the International Society for Optical Engineering · 2023
    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 at 2 institutions in 1 country.

Hai-Su TaoHepatic Surgery Center, Tongji Hospital,Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Jin-Yu LinDepartment of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.
Wang LuoDepartment of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.
Rui ChenDepartment of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.
Wen ZhuDepartment of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.
Chi-Hua FangDepartment of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China. fangch_dr@163.com.
Jian YangDepartment of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China. yangjian486@126.com.
Zhujiang Hospital · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the clinical impact and technical feasibility of augmented reality laparoscopic navigation (ARLN) system in laparoscopic splenectomy for massive splenomegaly.

methodsThe clinical data of 17 consecutive patients who underwent laparoscopic splenectomy using ARLN (ARLN group) and 26 patients without ARLN guidance (Non-ARLN group) between January 2018 and April 2020 were enrolled. Propensity score matching (PSM) analysis was performed between the patients with and without ARLN guidance at a ratio of 1:1.

resultsMean intraoperative blood loss was significantly lower in the ARLN-group than in the Non-ARLN group (306.6 ml vs. 462.6 ml, p = 0.047). All the patients in the ARLN-group achieved successful splenic artery dissection, while surgical success was achieved in 12 patients in the Non-ARLN group (p = 0.044). Postoperative hospital stay was significantly longer in the Non-ARLN group (3.8 days vs. 4.5 days, p = 0.040).

conclusionsARLN can provide feasible and accurate intraoperative image guidance, and it could be helpful in the performance of laparoscopic splenectomy for massive splenomegaly.

Indexed as

Augmented RealityLaparoscopyHumansRetrospective StudiesSplenectomySplenomegalyTreatment Outcome

Identifiers

PMID33770240
OpenAlexW3136536167

What OpenQuestion holds

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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.