Evidence map›Paper›PMID 24997754›Full record

ArticleSurgery today2015

Original scoring system for predicting postoperative morbidity after esophagectomy for esophageal cancer.

Naoya Yoshida, Yoshifumi Baba, Masayuki Watanabe, Satoshi Ida, Takatsugu Ishimoto, Ryuichi Karashima, Shiro Iwagami, Yu Imamura, Yasuo Sakamoto, Yuji Miyamoto and 1 more

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Article in Surgery today, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Sarcopenia and Patient's Body Composition: New Morphometric Tools to Predict Clinical Outcome After Ivor Lewis Esophagectomy: a Multicenter Study.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2023
    Article
  5. Article
  6. Article
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4 · The record

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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

11 authors.

Naoya YoshidaDepartment of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuoku, Kumamoto, 860-8556, Japan.
Yoshifumi Baba
Masayuki Watanabe
Satoshi Ida
Takatsugu Ishimoto
Ryuichi Karashima
Shiro Iwagami
Yu Imamura
Yasuo Sakamoto
Yuji Miyamoto
Hideo Baba

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePostoperative morbidity remains common after esophagectomy. There are currently few tools that can be used to estimate the incidence of complications. This study aimed to create a novel scoring system for predicting postoperative morbidity.

methodsA total of 365 patients who underwent elective esophagectomy with two- or three-field lymphadenectomy for esophageal cancer were retrospectively analyzed. Patients were divided into development (n = 250) and validation datasets (n = 115). A scoring system was established by specifying the expected morbidity incidence values for all independent predictors in the development dataset, after which, the reproducibility was confirmed in the validation dataset.

resultsThe incidence of any morbidity was 44.7 %. Male sex, severe emaciation (body mass index <18), a lower performance status (grade 1 or 2), operation ≥540 min and massive bleeding (blood loss/body weight ≥20) were independent predictors of postoperative morbidity. The total of all predictive scores was calculated. The incidence of any morbidity and of severe morbidity (Clavien-Dindo classification ≥IIIb) significantly correlated with the score after dividing the scores into three groups (≤8, 10 and 11 and ≥13). This finding was also confirmed in the validation dataset.

conclusionThe current scoring system is considered to be useful for predicting postoperative morbidity after esophagectomy.

Indexed as

EsophagectomyBlood Loss, SurgicalElective Surgical ProceduresEsophageal NeoplasmsFemaleHumansIncidenceLymph Node ExcisionMaleMorbidityPostoperative ComplicationsPredictive Value of TestsRetrospective StudiesRisk Assessment

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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.