Evidence map›Paper›PMID 12027776›Full record

ReviewDrugs & aging2002

Management of hypercholesterolaemia in postmenopausal women.

Michael H Davidson, Kevin C Maki, Sherry Katz Karp, Kate A Ingram

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drugs & aging, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

14 citing papers in PubMed, 38 citations in OpenAlex.

  1. Trial
  2. Food & nutrition research · 2025
    Article
  3. Article
  4. Vascular Dementia and Underlying Sex Differences.Frontiers in aging neuroscience · 2021
    Review
  5. Approaching Sex Differences in Cardiovascular Non-Coding RNA Research.International journal of molecular sciences · 2020
    Review
  6. Article
  7. Article
  8. Review
  9. Assessing and Modifying Coronary Artery Disease Risk in Women.Current treatment options in cardiovascular medicine · 2017
    Review
  10. Review
  11. Review
  12. Which modifiable, non-modifiable, and socioeconomic factors have more effect on cardiovascular risk factors in overweight and obese women?Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2012
    Article
  13. Gender specific association of CYP2C9*3 with hyperlipidaemia in Chinese.British journal of clinical pharmacology · 2005
    Article
  14. 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

4 authors at 2 institutions in 1 country.

Michael H DavidsonChicago Center for Clinical Research, Illinois 60610, USA. mdavidson@protocare.com
Kevin C Maki
Sherry Katz Karp
Kate A Ingram
Center for Clinical Research (United States) · USState Street (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased rates of coronary heart disease (CHD) occur with advancing age in both sexes, although CHD rates in women lag behind those of men by about 10 years. There is a sharp increase in CHD rate among women after approximately 50 years of age. The reasons for this are not completely understood and are undoubtedly multifactorial. Cross-sectional data from large-scale population studies suggest that around the time of the menopause, low-density lipoprotein (LDL)-cholesterol levels increase by approximately 15 to 25%. Because this increase is larger than that observed in men over the same age span and closely approximates that observed in women after oophorectomy, it is likely that reduced circulating estrogen levels associated with menopause play a role in the adverse changes in both blood lipid levels and CHD incidence. There is clear evidence that treating hypercholesterolemia reduces cardiovascular risk in women, as well as in men. In the US National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATP III) guidelines, diet and other lifestyle changes are recommended as first-line therapy. If the treatment goals cannot be achieved through non-pharmacological measures, drug therapy should be added. Of the available lipid-lowering agents, HMG CoA reductase inhibitors (statins) are the clear choice to decrease LDL-cholesterol levels. However the favourable effects of statins on high-density lipoprotein (HDL)-cholesterol and triglyceride levels are more modest, and statins are not known to decrease lipoprotein (a) [Lp(a)] levels. Estrogen or hormone replacement therapy (ERT/HRT) and nicotinic acid improve LDL- and HDL-cholesterol levels and also decrease Lp(a) levels. However, ERT/HRT is no longer recommended as first-line therapy for decreasing CHD risk. Nicotinic acid is particularly useful for decreasing triglyceride levels (as are fibrates) and raising HDL-cholesterol levels. Bile-acid sequestrants reduce LDL-cholesterol and slightly increase HDL-cholesterol levels. Both bile acid sequestrants and ERT/HRT tend to raise triglyceride levels, therefore they should be used cautiously in women with hypertriglyceridaemia. Treatment should be individualised for each patient. It is important to evaluate the primary form of dyslipidaemia, other CHD risk factors, comorbidities, and the extent of lipid improvement needed in order to reach treatment goals. The effects of each type of therapy and potential adverse effects should also be considered.

Indexed as

AgedAnticholesteremic AgentsCholesterol, HDLCholesterol, LDLCoronary DiseaseDietDrug Therapy, CombinationEstrogensFemaleHormone Replacement TherapyHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHypercholesterolemiaHypolipidemic AgentsLife StyleNiacinAnticholesteremic AgentsCholesterol, HDLCholesterol, LDLEstrogensHydroxymethylglutaryl-CoA Reductase InhibitorsHypolipidemic AgentsNiacin

Identifiers

PMID12027776
OpenAlexW2047727517

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.