RMDMCC:低位先天性巨结肠的非手术方案

RMDMCC是非手术治疗早期低位先天性巨结肠的方案,含32例临床观察,展示手动扩张方法的有效性和安全性。

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2025-09-13 更新
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文本Hirschprung’s diseaseConstipation TreatmentHome based primary careconstipation Chronic constipation
RMDMCC: A Non-Surgical Protocol for Low-set Hirschsprung's Disease

基本信息

模态
文本
大小
0.000321252 GB
许可
CC BY 4.0
创建/更新时间
2025-09-13
版本
v4

资源简介

RMDMCC:低位先天性巨结肠的非手术方案

【一句话概览】

本数据集是 figshare 公开的文本数据集,收录 4 个文件、合计 321.25 KB,主题涵盖 Hirschprung’s disease、Constipation Treatment、Home based primary care、constipation Chronic constipation,可用于医学自然语言处理(实体识别、信息抽取等),CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《RMDMCC: A Non-Surgical Protocol for Low-set Hirschsprung’s Disease》。项目资助方:This research received no external funding. It was entirely self-funded by the author, Dr. Rajatsubhra Mukhopadhyay, out of personal interest and dedication to pediatric innovation. Though it may appear a waste of time, money, or even madness to some, it is driven purely by passion and love for helping children.。源站首次发布:2026-09-29。

【数据内容】

源站原始描述:RMDMCC (Rajatsubhra’s Manual Dilatation Method for Congenital Constipation) is a clinician-supervised, caregiver-performed, progressive manual dilatation method developed for selected children clinically and radiologically identified as having low-set Hirschsprung’s disease. The protocol uses gradual, tolerance-based manual anal–rectal dilatation together with supportive bowel management and regular clinical follow-up. Dilatation is generally performed 4–5 times daily, with progression from the…

文件 RMDMCC.html 为文本内容,开头为:= RMDMCC – A Non-Surgical Dilatation Method for Low-set Hirschsprung’s Disease = ''''An Innovative Pediatric Protocol by Dr. Rajatsubhra Mukhopadhyay'''' == Overv…

【数据结构与技术规格】

文件数 4 个,合计 321.25 KB。RMDMCC_Case_Report_Dr_Rajat.pdf:application/pdf,3.06 KB。RMDMCC.html:text/plain,3.98 KB。RMDMCC – A Non-Surgical Dilatation Method for Low-set Hirschsprung’s Disease.pdf:application/pdf,107.99 KB。数据集 DOI:10.6084/m9.figshare.29587274.v4。

【主题与分类】

源站学科分类:Traditional, complementary and integrative medicine not elsewhere classified、Rural clinical health、Global Indigenous studies health and wellbeing、Primary health care、Applications in health、Community child health。主题标签:Hirschprung’s disease、Constipation Treatment、Home based primary care、constipation Chronic constipation。

【适用方向】

文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。

【获取与许可】

源站页面:https://figshare.com/articles/preprint/_b_RMDMCC_A_Non-Surgical_Protocol_for_Low-set_Hirschsprung_s_Disease_b_/29587274

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Mukhopadhyay, Rajatsubhra (2025). RMDMCC: A Non-Surgical Protocol for Low-set Hirschsprung’s Disease. figshare. Preprint

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

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公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "RMDMCC_Case_Report_Dr_Rajat.pdf" "https://ndownloader.figshare.com/files/57928414"
curl -L -o "RMDMCC.html" "https://ndownloader.figshare.com/files/57928438"
curl -L -o "RMDMCC – A Non-Surgical Dilatation Method for Low-set Hirschsprung’s Disease.pdf" "https://ndownloader.figshare.com/files/58809958"
curl -L -o "RMDMCC_2_Final_2026.pdf" "https://ndownloader.figshare.com/files/69459621"

文件清单

  • RMDMCC_Case_Report_Dr_Rajat.pdf(3.06 KB)
  • RMDMCC.html(3.98 KB)
  • RMDMCC – A Non-Surgical Dilatation Method for Low-set Hirschsprung’s Disease.pdf(107.99 KB)
  • RMDMCC_2_Final_2026.pdf(206.22 KB)

文件总体积 321.25 KB(源站 API 实测)。

数据说明

RMDMCC (Rajatsubhra’s Manual Dilatation Method for Congenital Constipation) is a clinician-supervised, caregiver-performed, progressive manual dilatation method developed for selected children clinically and radiologically identified as having low-set Hirschsprung’s disease.

The protocol uses gradual, tolerance-based manual anal–rectal dilatation together with supportive bowel management and regular clinical follow-up. Dilatation is generally performed 4–5 times daily, with progression from the little finger to progressively thicker fingers and subsequently to two-finger techniques as tolerated. Each stage generally continues for approximately 4–6 days. The final dilatation stage is generally reached over approximately 1–2 months, while overall clinical management and follow-up may continue for approximately 6 months. Osmotic stool softeners such as polyethylene glycol (PEG), lactulose, or lactitol may be used according to bowel pattern and clinical response.

The preliminary documented experience includes 32 children. Descriptive observations include symptomatic resolution without surgery in 30/32 (93.75%), reported radiological improvement in 28/32 (87.5%), and surgical referral in 2/32 cases. Some caregivers reported regular spontaneous bowel movements without continued stool-softener requirement during follow-up.

These findings are preliminary and observational. The documented case series was uncontrolled, diagnosis was largely based on clinical and radiological assessment, and histopathological confirmation was not documented for every case. Some outcomes were based partly on caregiver reports, and standardized long-term follow-up was incomplete. These observations should therefore not be interpreted as evidence that RMDMCC is equivalent or superior to established definitive surgical treatment for Hirschsprung’s disease.

The current detailed clinical-method and preliminary case-series documentation is available as a 2026 Zenodo preprint:

Mukhopadhyay, R. (2026). RMDMCC – A Non-Surgical Dilatation Method for Low-Set Hirschsprung’'s Disease: Clinical Method and Preliminary Case-Series Documentation. Zenodo.

DOI: 10.5281/zenodo.23030017

RMDMCC was develop

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.29587274.v4(source: https://figshare.com/articles/preprint/_b_RMDMCC_A_Non-Surgical_Protocol_for_Low-set_Hirschsprung_s_Disease_b_/29587274)。

数据缺失?

依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。

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