Evidence map›Paper›PMID 32112159›Full record

ArticleSurgery today2020

Sarcopenia assessed by the quantity and quality of skeletal muscle is a prognostic factor for patients undergoing cardiac surgery.

Yuriko Kiriya, Nakajima Toshiaki, Ikuko Shibasaki, Koji Ogata, Hironaga Ogawa, Yusuke Takei, Masahiro Tezuka, Masahiro Seki, Takashi Kato, Alan Kawarai Lefor and 1 more

Abstract read
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In one paragraph

Article in Surgery today, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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  13. Muscle Quality Predicts Outcomes after Surgery for Early-Stage Non-Small-Cell Lung Cancer.Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia · 2022
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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

11 authors at 2 institutions in 1 country.

Yuriko KiriyaDivision of Cardiovascular Surgery, Department of Cardiac and Vascular Surgery, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Tochigi, 321-0293, Japan. y-kiriya@dokkyomed.ac.jp.
Nakajima ToshiakiDivision of Cardiovascular Medicine, Dokkyo Medical University, Mibu, Japan.
Ikuko ShibasakiDivision of Cardiovascular Surgery, Department of Cardiac and Vascular Surgery, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Tochigi, 321-0293, Japan.
Koji OgataDivision of Cardiovascular Surgery, Department of Cardiac and Vascular Surgery, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Tochigi, 321-0293, Japan.
Hironaga OgawaDivision of Cardiovascular Surgery, Department of Cardiac and Vascular Surgery, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Tochigi, 321-0293, Japan.
Yusuke TakeiDivision of Cardiovascular Surgery, Department of Cardiac and Vascular Surgery, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Tochigi, 321-0293, Japan.
Masahiro TezukaDivision of Cardiovascular Surgery, Department of Cardiac and Vascular Surgery, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Tochigi, 321-0293, Japan.
Masahiro SekiDivision of Cardiovascular Surgery, Department of Cardiac and Vascular Surgery, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Tochigi, 321-0293, Japan.
Takashi KatoDivision of Cardiovascular Surgery, Department of Cardiac and Vascular Surgery, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Tochigi, 321-0293, Japan.
Alan Kawarai LeforDepartment of Surgery, Jichi Medical University, Tochigi, Japan.
Hirotsugu FukudaDivision of Cardiovascular Surgery, Department of Cardiac and Vascular Surgery, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Tochigi, 321-0293, Japan.
Dokkyo Medical University · JPJichi Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSarcopenia was assessed as a prognostic factor for patients undergoing cardiac surgery by evaluating the quantity and quality of skeletal muscle.

methodsSarcopenia was assessed by perioperative abdominal computed tomography using the total psoas muscle index (TPI) and intra-muscular adipose tissue content (IMAC). Patients were classified into high- (HT, n = 143) and low- (LT, n = 63) TPI groups and low- (LI, n = 122) and high- (HI, n = 84) IMAC groups.

resultsThere were significantly more complications in the LT and HI groups than in the HT and LI groups. (HT 15.4% vs. LT 30.2%, P = 0.014) (LI 11.5% vs. HI 31.1%, P < 0.001). There were more respiratory complications in the LT group (HT 0% vs. LT 6.3%, P = 0.002) and more surgical site infections in the HI group than in the LI group (LI 0.8% vs. HI 7.1%, P = 0.014). A multivariable analysis showed that low TPI and high IMAC significantly predicted more major complications than other combinations (odds ratio [OR] 2.375; 95% confidence interval [CI] 1.152-5.783; P = 0.036, OR 3.973; 95% CI 1.737-9.088; P = 0.001).

conclusionsSarcopenia is a risk factor for complications. The quantity and quality of muscle must be assessed to predict operative outcomes. CLINICAL TRIAL REGISTRATION NUMBER: UMIN000027077.

Indexed as

Cardiac Surgical ProceduresRisk AssessmentAdipose TissueAgedFemaleHumansMaleMuscle, SkeletalPostoperative ComplicationsPreoperative PeriodPrognosisRisk FactorsSarcopeniaTomography, X-Ray ComputedCardiac surgeryFrailtyPreoperative risk assessmentSarcopenia

Identifiers

PMID32112159
OpenAlexW3007124400

What Socratic 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 Socratic graph.