Evidence map›Paper›PMID 37440158›Full record

ArticleBreast cancer (Tokyo, Japan)2023

Significance of skeletal muscle index-to-body mass index ratio as a predictor of post-surgical bleeding after mastectomy in patients with breast cancer.

Hiroki Morikawa, Takaaki Oba, Nami Kiyosawa, Ryoko Iji, Masatsugu Amitani, Tatsunori Chino, Tadafumi Shimizu, Mayu Ono, Tokiko Ito, Toshiharu Kanai and 2 more

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Article in Breast cancer (Tokyo, Japan), 2023. 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
1.1field-weighted citation impact, top 24% 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, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
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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

12 authors at 1 institution in 1 country.

Hiroki MorikawaDivision of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, Japan.
Takaaki ObaDivision of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, Japan. takaoba@shinshu-u.ac.jp.ORCID http://orcid.org/0000-0001-8283-4989
Nami KiyosawaDivision of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, Japan.
Ryoko IjiDivision of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, Japan.
Masatsugu AmitaniDivision of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, Japan.
Tatsunori ChinoDivision of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, Japan.
Tadafumi ShimizuDivision of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, Japan.
Mayu OnoDivision of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, Japan.
Tokiko ItoDivision of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, Japan.
Toshiharu KanaiDivision of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, Japan.
Kazuma MaenoDivision of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, Japan.
Ken-Ichi ItoDivision of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, Japan.
Shinshu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-surgical bleeding is a major complication of mastectomy in patients with breast cancer. However, the risk factors for post-surgical bleeding have not been well studied. Although obesity or reduced skeletal muscle mass is an indicator of cancer surgery complications, its impact on post-surgical bleeding after mastectomy remains unknown.

methodsIn total, 563 patients with breast cancer who underwent mastectomy were included in this study. We evaluated the preoperative body mass index (BMI), skeletal muscle index (SMI), and SMI-to-BMI ratio and analyzed the association between these values and the incidence of post-surgical bleeding.

resultsPost-surgical bleeding occurred in 33 (5.6%) patients. Mean BMI was significantly higher in the bleeding group (26.3 ± 4.7) than in the no-bleeding group (23.0 ± 4.1) (p < 0.001), whereas mean SMI was lower in the former group (45.0 ± 8.5) than in the latter group (48.0 ± 8.5) (p = 0.08). The bleeding group had significantly lower SMI-to-BMI ratio (1.71 ± 0.16) than the no-bleeding group (2.10 ± 0.23) (p < 0.001). Among these three parameters, SMI-to-BMI ratio had the highest area under the curve value in their receiver operating characteristic curves (0.73 for BMI, 0.59 for SMI, 0.92 for SMI-to-BMI ratio). Furthermore, on multivariate analysis, SMI-to-BMI ratio was an independent risk factor for post-surgical bleeding (hazard ratio, 38.4; 95% confidence interval, 13.9-136.2; p < 0.001).

conclusionsSMI-to-BMI ratio is a superior predictive factor of post-surgical bleeding after mastectomy to either BMI or SMI alone.

Indexed as

Breast NeoplasmsSarcopeniaBody Mass IndexFemaleHumansMastectomyMuscle, SkeletalPrognosisRetrospective StudiesBody mass indexBreast cancerMastectomyPost-surgical bleedingSkeletal muscle index

Identifiers

PMID37440158
OpenAlexW4384126765

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.