Evidence map›Paper›PMID 27528811›Full record

ArticleUlusal cerrahi dergisi2016

Factors affecting surgical site infection rate after elective gastric cancer surgery.

Tolga Özmen, Mirkhalig Javadov, Cumhur S Yeğen

Open access · greenAbstract read
In one paragraph

Article in Ulusal cerrahi dergisi, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 3 pooled it
0.3field-weighted citation impact, top 36% 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, 3 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. 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

3 authors at 1 institution in 1 country.

Tolga ÖzmenDepartment of General Surgery, Marmara University School of Medicine, İstanbul, Turkey.
Mirkhalig JavadovDepartment of General Surgery, Marmara University School of Medicine, İstanbul, Turkey.
Cumhur S YeğenDepartment of General Surgery, Marmara University School of Medicine, İstanbul, Turkey.
Marmara University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSurgical site infection (SSI) is a common complication after surgery and is an indicator of quality of care. Risk factors for SSI are studied thoroughly for most types of gastrointestinal surgeries and especially colorectal surgeries, but accumulated data is still lacking for gastric surgeries. We studied the parameters affecting SSI rate after gastric cancer surgery. MATERIAL AND

methodsConsecutive patients, who underwent elective gastric cancer surgery between June and December 2013, were included. Descriptive parameters, laboratory values and past medical histories were recorded prospectively. All patients were followed for 1 month. Recorded parameters were compared between the SSI (+) and SSI (-) groups.

resultsFifty-two patients (mean age: 58.87±9.25 [31-80]; 67% male) were included. SSI incidence was 19%. ASA score ≥3 (p<0.001), postoperative weight gain (p<0.001), smoking (p=0.014) and body mass index (BMI) ≥30 (p=0.025) were related with a higher SSI incidence. Also patients in the SSI (+) group had a higher preoperative serum C-reactive protein level (p=0.014).

conclusionWe assume that decreasing BMI to <30, stopping smoking at least 3 weeks before the operation, and preventing postoperative weight gain by avoiding excessive intravenous hydration will all help decrease SSI rate after gastric surgery.

Indexed as

Gastric cancerrisk factorssurgical site infection

Identifiers

PMID27528811
PMCPMC4970775
OpenAlexW2331017710

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.