Evidence map›Paper›PMID 22294323›Full record

ArticleLangenbeck's archives of surgery2012

The evaluation of surgical treatment for gastric cancer patients with noncurative resection.

Teiji Naka, Makoto Iwahashi, Mikihito Nakamori, Masaki Nakamura, Toshiyasu Ojima, Takeshi Iida, Masahiro Katsuda, Tsuji Toshiaki, Hayata Keiji, Hiroki Yamaue

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Article in Langenbeck's archives of surgery, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 89% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. 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

10 authors at 1 institution in 1 country.

Teiji NakaSecond Department of Surgery, School of Medicine, Wakayama Medical University, 811-1 Kimiidera, Wakayama, 641-8510, Japan.
Makoto Iwahashi
Mikihito Nakamori
Masaki Nakamura
Toshiyasu Ojima
Takeshi Iida
Masahiro Katsuda
Tsuji Toshiaki
Hayata Keiji
Hiroki Yamaue
Wakayama Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aims to analyze the results of treatment in a series of 233 gastric cancer patients who underwent a noncurative resection.

methodsWe performed a retrospective study of patients with noncurative treatment for advanced gastric cancer who were divided into three treatment groups: total gastrectomy (TG, n=150), distal gastrectomy (DG, n=44), and nonresection (NR, bypass procedure or chemotherapy only, n=39).

resultsIn multivariate analysis, surgical treatment (TG) and an absence of chemotherapy were significant independent prognostic factors for a poor survival. In the late period, the overall survival rate was significantly lower in the TG group than in the DG group (p=0.005) and was marginally lower than in the NR group (p=0.054). The resection group had a poorer compliance for chemotherapy than the NR group, and the TG group had a poorer compliance than the DG group (p<0.01). The morbidity rate was higher in the TG group than in the DG group (p<0.05).

conclusionsTG is considered to be inappropriate for the treatment of noncurative gastric cancer because of the poor prognosis, high morbidity rates, and poor compliance for chemotherapy associated with the procedure. However, noncurative DG was acceptable and postoperative chemotherapy should be used in selected patients.

Indexed as

GastrectomyAdenocarcinomaAgedAntineoplastic AgentsFemaleHumansMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesStomach NeoplasmsSurvival RateTreatment OutcomeAntineoplastic Agents

Identifiers

PMID22294323
OpenAlexW2028099380

What OpenQuestion holds

Textmetadata
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.