Suppr超能文献

Clinical evaluation of mastalgia.

作者信息

Tavaf-Motamen H, Ader D N, Browne M W, Shriver C D

机构信息

Department of Surgery, Walter Reed Army Medical Center, Washington, DC, USA.

出版信息

Arch Surg. 1998 Feb;133(2):211-3; discussion 214. doi: 10.1001/archsurg.133.2.211.

Abstract

OBJECTIVE

To describe an accurate and reproducible method to quantify a patient's subjective experience of breast pain.

DESIGN

Prospective diary study.

SETTING

Military tertiary care hospital.

PATIENTS

Thirty female military health care beneficiaries from the Walter Reed Army Medical Center, Washington, DC, gynecology and general surgery clinics.

MAIN OUTCOME MEASURES

Daily mastalgia was recorded using a visual analog scale and menstrual symptoms were measured using a daily questionnaire. These measures were correlated with results of a screening questionnaire completed prior to study entry.

RESULTS

Patients identified as having cyclical mastalgia based on the screening questionnaire (n= 15) were found to have higher peak perimenstrual mastalgia according to their daily diaries than patients who did not meet diagnostic criteria (n=15) (5.3+/-0.7 vs 3.5+/-0.5, P<.001). Applying the same criteria used in the screening questionnaire to the diary data, 17 of 30 patients met diagnostic criteria for cyclical mastalgia. The ability of the screening questionnaire to predict the results of the prospective diary data was calculated, and positive and negative predictive values were 73% and 60%, respectively. Most patients with cyclical mastalgia also have other perimenstrual psychological and somatic complaints, although a subset of patients has high levels of mastalgia with minimal associated symptoms.

CONCLUSIONS

Accurate assessment of mastalgia cannot be done with a retrospective questionnaire and requires prospective diary evaluation, owing to the variable and subjective nature of symptoms and recall bias. A daily visual analog scale provides reproducible results and is easy for patients to use.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验