Evidence map›Paper›PMID 31574808›Full record

SynthesisMedicine2019

Compare the prognosis of Da Vinci robot-assisted thoracic surgery (RATS) with video-assisted thoracic surgery (VATS) for non-small cell lung cancer: A Meta-analysis.

Feng Guo, Dongjie Ma, Shanqing Li

Open access · goldAbstract readComparative StudyMeta-Analysis
In one paragraph

Synthesis in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
5.6field-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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

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  11. Modern therapies of nonsmall cell lung cancer.Journal of applied genetics · 2023
    Review
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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

3 authors at 1 institution in 1 country.

Feng GuoDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Dongjie Ma
Shanqing Li
Peking Union Medical College Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To determine if there are advantages to transitioning to Da Vinci robotics by a surgeon compared to the video-assisted thoracic surgical lobectomy.A systematic electronic search of online electronic databases: PubMed, Embase, and Cochrane library updated on December 2017. Publications on comparison Da Vinci-robot-assisted thoracic surgery (RATS) and video-assisted thoracic surgery (VATS) for non-small cell lung cancer were collected. Meta-analysis RevMan 5.3 software (The Cochrane collaboration, Oxford, UK) was used to analyze the combined pooled HRs using fixed or random-effects models according to the heterogeneity.Fourteen retrospective cohort studies were included. No statistical difference was found between the 2 groups with respect to conversion to open, dissected lymph nodes number, hospitalization time after surgery, duration of surgery, drainage volume after surgery, prolonged air leak, and morbidity (P > .05).Da Vinci-RATS lobectomy is a feasible and safe technique and can achieve an equivalent surgical efficacy when compared with VATS. There does not seem to be a significant advantage for an established VATS lobectomy surgeon to transition to robotics based on clinical outcomes.

Indexed as

Carcinoma, Non-Small-Cell LungConversion to Open SurgeryHumansLength of StayLung NeoplasmsLymph Node ExcisionOperative TimePostoperative ComplicationsRobotic Surgical ProceduresThoracic Surgery, Video-AssistedTreatment Outcome

Identifiers

PMID31574808
PMCPMC6775418
OpenAlexW2975830097

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.