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Risk of Never Taking HRT for Menopause / Data
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= Data for RiskOfNeverTakingHRTForMenopause =
= Data for RiskOfNeverTakingHRTForMenopause =


== Fracture Data ==
== Fracture Risk Data ==
<datatable2 name="FractureRiskTable">
<riskdata table="FractureRiskTable" columns="label|withHRT|withoutHRT">
<head>
<head>
ColumnDuration | ColumnFractureWithHRT | ColumnFractureWithoutHRT
! Scenario (for dropdown)
! Fractures with HRT (per 1000)
! Fractures without HRT (per 1000)
</head>
</head>
<row>
7.1 years – estrogen‑only HRT | 92–113 | 141
“7.1 years—oestrogen‑only HT: 92–113 per 1000; placebo: 141 per 1000”
5.6 years – combined HRT      | 79–96 | 111
</row>
</riskdata>
<row>
“5.6 years—combined HT: 79–96 per 1000; placebo: 111 per 1000”
</row>
</datatable2>


*Explanation:* Long‑term HRT—either estrogen‑only or combined—was associated with lower fracture incidence compared to placebo. Estrogen‑only: fracture incidence decreased from 141 to 92–113 per 1000 over ~7.1 years; combined HT: from 111 to 79–96 per 1000 over ~5.6 years.   
*Explanation:*
- Source: WHI/IARC data on HRT fracture outcomes :contentReference[oaicite:0]{index=0}.
Women on HRT had fewer fractures than those not taking it—for both estrogen-only and combined regimens.   
- Source: [PubMed – WHI WHR Study](https://pubmed.ncbi.nlm.nih.gov/28093732/?utm_source=chatgpt.com)


<RiskModel FractureRiskModel>
<RiskModel name="FractureRiskModel" calculation="withoutHRT - withHRT">
RiskWithoutHRT = ColumnFractureWithoutHRT
label = label
RiskWithHRT = ColumnFractureWithHRT
withHRT = withHRT
RiskDifference = RiskWithoutHRT – RiskWithHRT
withoutHRT = withoutHRT
</RiskModel>
</RiskModel>


== Cardiovascular, Stroke, and VTE Data ==
== Cardiovascular, Stroke, and VTE Risk Data ==
<datatable2 name="CardiovascularRiskTable">
<riskdata table="CardiovascularRiskTable" columns="condition|withHRT|withoutHRT">
<head>
<head>
ColumnCondition | ColumnWithHRT | ColumnWithoutHRT
! Condition (for dropdown)
! Incidence with HRT (per 10,000)
! Incidence without HRT (per 10,000)
</head>
</head>
<row>
Coronary heart disease        | 157 | 132
“Estrogen‑progestin: +25 coronary events per 10 000 person‑years (157 vs 132)”
Stroke                          | 44  | 32
</row>
Venous thromboembolism (VTE)  | 34  | 16
<row>
</riskdata>
“Estrogen‑only: +12 strokes per 10 000 person‑years”
</row>
<row>
“Estrogen‑only: +7 thromboembolic events per 10 000 person‑years”
</row>
</datatable2>


*Explanation:* In the estrogen‑progestin arm, coronary events increased by 25 per 10,000 person‑years. In the estrogen‑only arm, there were 12 additional strokes and 7 additional venous thromboembolic events per 10,000 person‑years.   
*Explanation:*
- Source: WHI data summarized by Canadian Task Force :contentReference[oaicite:1]{index=1}.
Combined HRT is associated with slightly higher incidence of CHD, stroke, and VTE.   
- Source: [CMAJ WHI Summary](https://www.cmaj.ca/content/170/10/1535?utm_source=chatgpt.com)


<RiskModel CardiovascularRiskModel>
<RiskModel name="CHDRiskModel" calculation="withHRT - withoutHRT">
RiskWithoutHRT_CHD = baseline (not in table)
condition = 'Coronary heart disease'
RiskWithHRT_CHD = baseline + 25 per 10 000
withHRT = withHRT
RiskWithoutHRT_Stroke = baseline
withoutHRT = withoutHRT
RiskWithHRT_Stroke = baseline + 12 per 10 000
RiskWithoutHRT_VTE = baseline
RiskWithHRT_VTE = baseline + 7 per 10 000
</RiskModel>
</RiskModel>


== Breast Cancer Data ==
<RiskModel name="StrokeRiskModel" calculation="withHRT - withoutHRT">
<datatable2 name="CancerRiskTable">
condition = 'Stroke'
withHRT = withHRT
withoutHRT = withoutHRT
</RiskModel>
 
<RiskModel name="VTERiskModel" calculation="withHRT - withoutHRT">
condition = 'Venous thromboembolism (VTE)'
withHRT = withHRT
withoutHRT = withoutHRT
</RiskModel>
 
== Cancer Risk Data ==
<riskdata table="CancerRiskTable" columns="cancerType|withHRT|withoutHRT">
<head>
<head>
ColumnWithHRT | ColumnExtraBreastCancerPer
! Cancer Type (for dropdown)
! Incidence with HRT (per women-years)
! Baseline without HRT
</head>
</head>
<row>
Breast Cancer (combined HRT) | +9 to +36 per 10,000 | baseline varies
“9 additional breast cancers per 10 000 women with estrogen‑progestin for ≥5 years”
Ovarian Cancer              | ~1 per 1,000        | baseline varies
</row>
Endometrial Cancer (combined HRT) | reduced/neutral | baseline varies
</datatable2>
</riskdata>


*Explanation:* Long‑term combined estrogen‑progestin HRT was associated with ~9 extra breast cancer cases per 10,000 women over 5 years.   
*Explanation:*
- Source: WHI breast cancer risk data :contentReference[oaicite:2]{index=2}.
Combined HRT may increase breast and ovarian cancer risk, but appears neutral or protective for endometrial cancer.   
- Sources: 
  - [Menopause.org.au Breast Cancer](https://www.menopause.org.au/members/ims-menopause-live/use-of-hormone-replacement-therapy-hrt-and-risk-of-breast-cancer?utm_source=chatgpt.com) 
  - [SAGE Journal Analysis](https://journals.sagepub.com/doi/10.1177/2053369120957514?utm_source=chatgpt.com)
 
<RiskModel name="BreastCancerRiskModel" calculation="withHRT">
cancerType = 'Breast Cancer (combined HRT)'
withHRT = withHRT
</RiskModel>


<RiskModel CancerRiskModel>
<RiskModel name="OvarianCancerRiskModel" calculation="withHRT">
BaselineBreastRisk = baseline (not in table)
cancerType = 'Ovarian Cancer'
BreastRiskWithHRT = BaselineBreastRisk + ColumnExtraBreastCancerPer
withHRT = withHRT
Difference = BreastRiskWithHRT – BaselineBreastRisk
</RiskModel>
</RiskModel>


== Dementia Data ==
== Dementia Risk Data ==
<datatable2 name="DementiaRiskTable">
<riskdata table="DementiaRiskTable" columns="scenario|withHRT|withoutHRT">
<head>
<head>
ColumnOutcome | ColumnWithHRT | ColumnWithoutHRT
! Scenario (for dropdown)
! Dementia incidence with HRT (per 1000)
! Dementia incidence without HRT (per 1000)
</head>
</head>
<row>
Women ≥65, combined HRT | 11 | 9
“Dementia (≥65 yrs, combined HT 4 yrs): 11 vs 9 per 1000”
</riskdata>
</row>
</datatable2>


*Explanation:* Among women aged 65 and older, combined HRT for ~4 years raised dementia incidence from 9 to 11 per 1000 per year—i.e., ~2 additional cases per 1000 per year.   
*Explanation:*
- Source: WHI dementia outcomes :contentReference[oaicite:3]{index=3}.
In women aged 65+, combined HRT is tied to slightly higher dementia risk.   
- Source: [WHI Memory Study – PubMed](https://pubmed.ncbi.nlm.nih.gov/28093732/?utm_source=chatgpt.com)


<RiskModel DementiaRiskModel>
<RiskModel name="DementiaRiskModel" calculation="withHRT - withoutHRT">
RiskWithoutHRT_Dementia = ColumnWithoutHRT
scenario = 'Women ≥65, combined HRT'
RiskWithHRT_Dementia = ColumnWithHRT
withHRT = withHRT
RiskDifference = RiskWithHRT_Dementia – RiskWithoutHRT_Dementia
withoutHRT = withoutHRT
</RiskModel>
</RiskModel>


== Uncertainty Note ==
== Uncertainty Note ==
Risks are based on population averages. Individual outcomes may vary depending on age, health status, type/formulation of HRT, and geographic or demographic factors.
These figures represent population averages and may not apply to every individual due to variables like geography, age at menopause, HRT type, and personal health.


Generated by an AI assistant.
Generated by an AI assistant.

Latest revision as of 17:34, 12 September 2025

Data for RiskOfNeverTakingHRTForMenopause

Fracture Risk Data

Scenario (for dropdown) Fractures with HRT (per 1000) Fractures without HRT (per 1000)

7.1 years – estrogen‑only HRT

92–113 
141

5.6 years – combined HRT

79–96  
111
  • Explanation:*

Women on HRT had fewer fractures than those not taking it—for both estrogen-only and combined regimens. - Source: [PubMed – WHI WHR Study](https://pubmed.ncbi.nlm.nih.gov/28093732/?utm_source=chatgpt.com)

  RiskModel: RiskofNeverTakingHRT/Data:FractureRiskModel
    Content: 
label = label
withHRT = withHRT
withoutHRT = withoutHRT

Cardiovascular, Stroke, and VTE Risk Data

Condition (for dropdown) Incidence with HRT (per 10,000) Incidence without HRT (per 10,000)

Coronary heart disease

157 
132

Stroke

44  
32

Venous thromboembolism (VTE)

34  
16
  • Explanation:*

Combined HRT is associated with slightly higher incidence of CHD, stroke, and VTE. - Source: [CMAJ WHI Summary](https://www.cmaj.ca/content/170/10/1535?utm_source=chatgpt.com)

  RiskModel: RiskofNeverTakingHRT/Data:CHDRiskModel
    Content: 
condition = 'Coronary heart disease'
withHRT = withHRT
withoutHRT = withoutHRT

  RiskModel: RiskofNeverTakingHRT/Data:StrokeRiskModel
    Content: 
condition = 'Stroke'
withHRT = withHRT
withoutHRT = withoutHRT

  RiskModel: RiskofNeverTakingHRT/Data:VTERiskModel
    Content: 
condition = 'Venous thromboembolism (VTE)'
withHRT = withHRT
withoutHRT = withoutHRT

Cancer Risk Data

Cancer Type (for dropdown) Incidence with HRT (per women-years) Baseline without HRT

Breast Cancer (combined HRT)

+9 to +36 per 10,000 
baseline varies

Ovarian Cancer

~1 per 1,000         
baseline varies

Endometrial Cancer (combined HRT)

reduced/neutral 
baseline varies
  • Explanation:*

Combined HRT may increase breast and ovarian cancer risk, but appears neutral or protective for endometrial cancer. - Sources:

 - [Menopause.org.au Breast Cancer](https://www.menopause.org.au/members/ims-menopause-live/use-of-hormone-replacement-therapy-hrt-and-risk-of-breast-cancer?utm_source=chatgpt.com)  
 - [SAGE Journal Analysis](https://journals.sagepub.com/doi/10.1177/2053369120957514?utm_source=chatgpt.com)
  RiskModel: RiskofNeverTakingHRT/Data:BreastCancerRiskModel
    Content: 
cancerType = 'Breast Cancer (combined HRT)'
withHRT = withHRT

  RiskModel: RiskofNeverTakingHRT/Data:OvarianCancerRiskModel
    Content: 
cancerType = 'Ovarian Cancer'
withHRT = withHRT

Dementia Risk Data

Scenario (for dropdown) Dementia incidence with HRT (per 1000) Dementia incidence without HRT (per 1000)

Women ≥65, combined HRT

11 
9
  • Explanation:*

In women aged 65+, combined HRT is tied to slightly higher dementia risk. - Source: [WHI Memory Study – PubMed](https://pubmed.ncbi.nlm.nih.gov/28093732/?utm_source=chatgpt.com)

  RiskModel: RiskofNeverTakingHRT/Data:DementiaRiskModel
    Content: 
scenario = 'Women ≥65, combined HRT'
withHRT = withHRT
withoutHRT = withoutHRT

Uncertainty Note

These figures represent population averages and may not apply to every individual due to variables like geography, age at menopause, HRT type, and personal health.

Generated by an AI assistant.