Evidence map›Paper›PMID 29083335›Full record

ArticleActa bio-medica : Atenei Parmensis2017

Laparoscopic subtotal gastrectomy for the treatment of advanced gastric cancer: a comparison with open procedure at the beginning of the learning curve.

Federico Marchesi, Giuseppina De Sario, Stefano Cecchini, Francesca Tartamella, Matteo Riccò, Andrea Romboli

Open access · greenAbstract readComparative Study
In one paragraph

Article in Acta bio-medica : Atenei Parmensis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  4. Review
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

6 authors at 1 institution in 1 country.

Federico MarchesiDipartimento di Medicina e Chirurgia, sezione di Clinica Chirurgica Generale, Università degli studi di Parma, Via Gramsci n.14, 43100 Parma Italia.. fede53@lycos.com.
Giuseppina De Sario
Stefano Cecchini
Francesca Tartamella
Matteo Riccò
Andrea Romboli
University of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the last decades, after some initial concern, laparoscopic subtotal gastrectomy (LSG) is gaining popularity also for the treatment of advanced gastric cancer (AGC). The aim of this study is to compare a single surgeon initial experience on LSG and open subtotal gastrectomy in terms of surgical safety and radicality, postoperative recovery and midterm oncological outcomes.

methodsa case control study was conducted matching the first 13 LSG for AGC with 13 open procedures performed by the same surgeon. Operative and pathological data, postoperative parameters and midterm oncological outcomes were analyzed.

resultsThere was no significant difference in mortality (0%) and morbidity, while the laparoscopic approach allowed lower analgesic consumption and faster bowel movement recovery. Operation time was significantly higher in LSG patients (301.5 vs 232 min, p: 0.023), with an evident learning curve effect. Both groups had a high rate of adequate lymph node harvest, but the number was significantly higher in LSG group (p: 0.033). No significant difference in survival was registered. Multivariate analysis identified age at diagnosis, diffuse-type tumor, pN and LODDS as independent predictors of worse prognosis.

conclusionsLSG can be safely performed for the treatment of AGC, allowing faster postoperative recovery.

Indexed as

GastrectomyLaparoscopyLearning CurveAgedAged, 80 and overFemaleHumansMaleMiddle AgedOperative TimeRecovery of FunctionRetrospective StudiesStomach NeoplasmsSurvival RateTreatment Outcome

Identifiers

PMID29083335
PMCPMC6142852
OpenAlexW2766407372

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.