Evidence map›Paper›PMID 36316113›Full record

ArticleJournal of gastric cancer2022

Safe Discharge Criteria After Curative Gastrectomy for Gastric Cancer.

Ali Guner, Ki Yoon Kim, Sung Hyun Park, Minah Cho, Yoo Min Kim, Woo Jin Hyung, Hyoung-Il Kim

Open access · hybridAbstract read
In one paragraph

Article in Journal of gastric cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
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  5. Fluorescence-guided Two-port Robotic Gastrectomy Versus Conventional Laparoscopic Gastrectomy: A Nonrandomized Controlled Trial.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2023
    Article
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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

7 authors at 2 institutions in 2 countries.

Ali GunerDepartment of Surgery, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-7801-8081
Ki Yoon KimDepartment of Surgery, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-9222-1641
Sung Hyun ParkDepartment of Surgery, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-5116-728X
Minah ChoDepartment of Surgery, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-3011-5813
Yoo Min KimDepartment of Surgery, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5176-804X
Woo Jin HyungDepartment of Surgery, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-8593-9214
Hyoung-Il KimDepartment of Surgery, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-6134-4523
Yonsei University · KRKaradeniz Technical University · TR

Funding

Korea Health Industry Development Institute HI22C0767
6 · The paper itself

Abstract

purposeThis study aimed to investigate the relationship between clinical and laboratory parameters and complication status to predict which patients can be safely discharged from the hospital on the third postoperative day (POD). MATERIALS AND

methodsData from a prospectively maintained database of 2,110 consecutive patients with gastric adenocarcinoma who underwent curative surgery were reviewed. The third POD vital signs, laboratory data, and details of the course after surgery were collected. Patients with grade II or higher complications after the third POD were considered unsuitable for early discharge. The performance metrics were calculated for all algorithm parameters. The proposed algorithm was tested using a validation dataset of consecutive patients from the same center.

resultsOf 1,438 patients in the study cohort, 142 (9.9%) were considered unsuitable for early discharge. C-reactive protein level, body temperature, pulse rate, and neutrophil count had good performance metrics and were determined to be independent prognostic factors. An algorithm consisting of these 4 parameters had a negative predictive value (NPV) of 95.9% (95% confidence interval [CI], 94.2-97.3), sensitivity of 80.3% (95% CI, 72.8-86.5), and specificity of 51.1% (95% CI, 48.3-53.8). Only 28 (1.9%) patients in the study cohort were classified as false negatives. In the validation dataset, the NPV was 93.7%, sensitivity was 66%, and 3.3% (17/512) of patients were classified as false negatives.

conclusionsSimple clinical and laboratory parameters obtained on the third POD can be used when making decisions regarding the safe early discharge of patients who underwent gastrectomy.

Indexed as

DischargeGastrectomyGastric cancerPostoperative complicationsReadmission

Identifiers

PMID36316113
PMCPMC9633928
OpenAlexW4307839311

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.