Evidence map›Paper›PMID 37560373›Full record

ReviewJMA journal2023

The Efficacy and Safety of Somatostatin Analog after Axillary Node Dissection in Breast Cancer: A Systematic Review and Meta-analysis.

Satsuki Hirono, Jun Watanabe, Atsushi Miki, Mikio Shiozawa, Naohiro Sata

Abstract readReview
In one paragraph

Review in JMA journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

5 authors.

Satsuki HironoDepartment of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University, Shimotsuke, Japan.
Jun WatanabeDepartment of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University, Shimotsuke, Japan.
Atsushi MikiDepartment of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University, Shimotsuke, Japan.
Mikio ShiozawaDepartment of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University, Shimotsuke, Japan.
Naohiro SataDepartment of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University, Shimotsuke, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Somatostatin analogs are expected to reduce lymphatic leakage. However, whether they can be used after axillary lymphadenectomy is unclear. This study aimed to assess the efficacy and safety of somatostatin analogs in axillary lymphadenectomy for breast cancer patients. Methods: We performed a random-effects meta-analysis by searching electronic databases for randomized trials and trial registries until June 2022. The primary outcomes were the volume of drained fluid, the duration of drainage, and seroma incidence. Bias was assessed using the Cochrane Collaboration's tool and the Grading of Recommendations, Assessment, Development, and Evaluations approach. Results: Six trials (738 participants) and one protocol without results were included. Somatostatin analogs may reduce the volume of drained fluid (mean difference = -22.07 mL, 95% confidence interval [CI] = -42.09 to -2.05; I Conclusions: There was limited evidence supporting somatostatin analogs for lymphorrhea after axillary lymphadenectomy. Multicenter randomized controlled trials are needed to confirm the efficacy and safety of somatostatin analogs after axillary lymphadenectomy.

Indexed as

axillary lymphadenectomybreast canceroctreotideseromasomatostatin

Identifiers

PMID37560373
PMCPMC10407358

What OpenQuestion holds

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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.