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低・中所得国における糖尿病性心筋症の流行:体系的なレビュープロトコル
A Arowolo1, L D M Bennie2, W Mahmoud3
1Biomedical Research and Innovation Platform, South African Medical Research Council, Cape Town, 7500, South Africa. afolake.arowolo@mrc.ac.za.
Systematic reviews
|February 14, 2026
まとめ
低・中所得国 (LMICs) での糖尿病性心筋疾患 (DbCM) の流行率は上昇しています. このシステマティック・レビューでは,低低所得国における2型糖尿病 (T2DM) の成人におけるDbCMの罹患率を推定し,予防の取り組みを図る.
科学分野:
- 心臓病学 心臓病学
- エンドクリノロジー エンドクリノロジー
- 公衆衛生は公衆衛生である.
背景:
- 2型糖尿病 (T2DM) は,低・中所得国 (LMICs) の健康上の負担を増加させている.
- 糖尿病性心筋病 (DbCM) は,他の原因から独立した心筋機能不全であり,心不全につながる可能性がある重要なT2DM合併症です.
- LMICにおけるDbCMの流行と分布は,高所得環境と比較してよく定義されていません.
研究 の 目的:
- LMICにおけるT2DMの成人の間でDbCMの集団的流行を体系的にレビューし,推定する.
- DbCMの流行の地域的変動を説明するために.
- 診断方法,血糖コントロール,および人口統計など,DbCMの流行における異質性に寄与する要因を特定する.
主な方法:
- 体系的なレビューに関するPRISMA-PとJBIのガイドラインの遵守.
- 複数のデータベース (PubMed,Scopus,Web of Science,Embase,AJOL,EBSCOhost) およびグレーの文献で包括的な文献検索を行っています.
- 2人のレビュー者による独立したスクリーニング,データ抽出,バイアスのリスク評価による客観的な心臓イメージングによるDbCMを診断するLMICからの観察研究の含有.
主要な成果:
- データが比較可能な場合,ランダム効果のメタ解析を使用して,DbCMのプールの流行推定値が計算されます.
- 一般化された線形混合モデルは,研究の変動性を説明するために使用されます.
- ヘテロゲニティは,I2統計を用いて評価され,サブグループ分析を通じて調査されます.メタ分析が実行できない場合は,ナラティブ・シンセシスを使用します.
結論:
- このレビューは,LMICにおけるDbCM負担の重要な見積もりを提供します.
- 発見は,糖尿病のケアのための保健システム計画とリソースの割り当てを通知します.
- 生成された証拠は,糖尿病に関連する心不全を軽減するための将来の研究と予防戦略を導くでしょう.
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