Comparative efficacy of Ayurveda treatment regimen and Letrozole along with Yoga module in the management of unexplained and anovulatory female infertility; study protocol for a randomized controlled trial

来曲唑 医学 不育 随机对照试验 养生 无排卵 生活质量(医疗保健) 妊娠率 妇科 物理疗法 怀孕 产科 内科学 三苯氧胺 乳腺癌 癌症 护理部 胰岛素抵抗 多囊卵巢 生物 胰岛素 遗传学
作者
Anubha Chandla,NALNEESH SHARMA,Kavita Vyas,Hemendar Mahajan,Varun Dutt,Arnav Bhavsar,Kirti Tripathi,Sarada Ota,Arunabh Tripathi
出处
期刊:Complementary Medicine Research [Karger Publishers]
卷期号:: 1-19
标识
DOI:10.1159/000542655
摘要

Introduction: Infertility is a significant health problem with psycho-social burden for couples. Ayurveda considers a holistic approach, including complex multimodal regimens in managing infertility. Increasing evidence has shown that Yoga as an adjuvant to infertility treatment increases pregnancy rates. Therefore, this research will investigate the comparative efficacy of Ayurveda regimen and Letrozole, along with integration of Yoga in both groups in female infertility. Methods: The primary outcome, ovulation rate, will be measured through serial transvaginal sonography (TVS) for six consecutive menstrual cycles. The secondary outcome, conception rate, will be measured by definitive signs of pregnancy. Participants' quality of life will be assessed using the Ferti Quality of Life (FertiQOL) tool. The study will randomize 160 women aged 21 to 40 years diagnosed with anovulatory or unexplained infertility into two groups using permuted block randomization. Participants in group I will receive internal oleation with Phala Ghrita (PG) and mild purgation with Gandharvahasta (GH) oil for three consecutive cycles. Standard care group II participants will receive Letrozole tablet once daily from day 3 to day 7 of the menstrual cycle for three cycles. The yoga instructor will take yoga sessions for participants of both groups for 6 months. This study will also use machine learning (ML) models to compare two regimens to predict improvements in outcome variables. The goal is to develop an online platform that aids personalized treatment planning and enhances clinical decision-making. Discussion: This will be the first study to generate evidence on the efficacy of integrated treatment regimens in female infertility, where predictive ML models will be developed.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
风中冰香应助科研废物采纳,获得10
1秒前
FKVB_完成签到,获得积分10
1秒前
ikutovaya完成签到,获得积分10
1秒前
尘林发布了新的文献求助10
2秒前
Abdurrahman完成签到,获得积分10
2秒前
令狐晓博完成签到,获得积分0
2秒前
希希发布了新的文献求助10
2秒前
我是老大应助shuishui采纳,获得10
2秒前
2秒前
dys完成签到,获得积分10
3秒前
3秒前
liu完成签到,获得积分10
3秒前
婧宸完成签到 ,获得积分10
3秒前
充电宝应助嘿嘿嘿采纳,获得10
4秒前
5秒前
归尘发布了新的文献求助10
5秒前
英姑应助小雨唱片采纳,获得10
5秒前
公孙朝雨完成签到 ,获得积分10
5秒前
忧郁的手链完成签到,获得积分10
6秒前
情怀应助李lj采纳,获得10
7秒前
星辰大海应助Nireus采纳,获得10
7秒前
在水一方应助一塔湖图采纳,获得10
8秒前
科目三应助不想科研采纳,获得10
8秒前
抽刀断水发布了新的文献求助10
8秒前
真实的跳跳糖完成签到,获得积分10
8秒前
D德发布了新的文献求助10
9秒前
9秒前
蒯秀燕完成签到,获得积分10
9秒前
dys发布了新的文献求助10
9秒前
ChenYX发布了新的文献求助20
9秒前
nana发布了新的文献求助10
10秒前
solar完成签到,获得积分10
11秒前
xqf123完成签到,获得积分10
11秒前
12秒前
豆子应助无心采纳,获得80
12秒前
dyf完成签到,获得积分10
12秒前
深情安青应助Sugar采纳,获得10
12秒前
BCEMTZ完成签到,获得积分10
13秒前
小安完成签到,获得积分20
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
Artificial Intelligence driven Materials Design 600
Comparing natural with chemical additive production 500
Machine Learning in Chemistry 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
A Manual for the Identification of Plant Seeds and Fruits : Second revised edition 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5194106
求助须知:如何正确求助?哪些是违规求助? 4376448
关于积分的说明 13629417
捐赠科研通 4231351
什么是DOI,文献DOI怎么找? 2320965
邀请新用户注册赠送积分活动 1319192
关于科研通互助平台的介绍 1269564