Evidence map›Paper›PMID 38683358›Full record

ArticleSurgery today2024

Prognostic significance of preoperative osteosarcopenia on patient' outcomes after emergency surgery for gastrointestinal perforation.

Naoko Fukushima, Takahiro Masuda, Kazuto Tsuboi, Masami Yuda, Keita Takahashi, Fumiaki Yano, Ken Eto

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Article in Surgery today, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Naoko FukushimaDepartment of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan. naoko9037@gmail.com.
Takahiro MasudaDepartment of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
Kazuto TsuboiDepartment of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
Masami YudaDepartment of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
Keita TakahashiDepartment of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
Fumiaki YanoDepartment of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
Ken EtoDepartment of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSarcopenia is a prognostic predictor in emergency surgery. However, there are no reports on the relationship between osteopenia and in-hospital mortality. This study clarified the effect of preoperative osteosarcopenia on patients with gastrointestinal perforation after emergency surgery.

methodsWe included 216 patients with gastrointestinal perforations who underwent emergency surgery between January 2013 and December 2022. Osteopenia was evaluated by measuring the pixel density in the mid-vertebral core of the 11th thoracic vertebra. Sarcopenia was evaluated by measuring the area of the psoas muscle at the level of the third lumbar vertebra. Osteosarcopenia is defined as the combination of osteopenia and sarcopenia.

resultsOsteosarcomas were identified in 42 patients. Among patients with osteosarcopenia, older and female patients and those with an American Society of Anesthesiologists Physical Status of ≥ 3 were significantly more common, and the body mass index, hemoglobin value, and albumin level were significantly lower in these patients than in patients without osteosarcopenia. Furthermore, the osteosarcopenia group presented with more postoperative complications than patients without osteosarcopenia (P < 0.01). In the multivariate analysis, age ≥ 74 years old (P = 0.04) and osteosarcopenia (P = 0.04) were independent and significant predictors of in-hospital mortality.

conclusionPreoperative osteosarcopenia is a risk factor of in-hospital mortality in patients with gastrointestinal perforation after emergency surgery.

Indexed as

Bone Diseases, MetabolicHospital MortalityIntestinal PerforationPostoperative ComplicationsSarcopeniaAgedAged, 80 and overAge FactorsDigestive System Surgical ProceduresEmergenciesEmergency TreatmentFemaleHumansMaleMiddle AgedPreoperative PeriodEmergency surgeryGastrointestinal perforationOsteopeniaPrognosisSarcopenia

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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.