Study of causes behind abnormal uterine bleeding according to PALM- COEIN classification at a tertiary care hospital.

Clicks: 230
ID: 90246
2020
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #24 of 67 articles by views in jpma the journal of the pakistan medical association

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
This descriptive observational study was carried out to determine the frequency of causes behind Abnormal Uterine Bleeding (AUB) amongst patients of reproductive age presenting to gynaecology OPD from January to June 2018 at the Combined Military Hospital Kharian, a tertiary care hospital. All women presenting with complaints of AUB were enrolled for the study, except for those who were pregnant, adolescent and postmenopausal. Detailed history, physical examination and relevant investigations were done and patients were categorised according to FIGO PALM-COEIN classification system and placed in nine main categories. A total of 238 patients were enrolled and the incidence of AUB among them was found to be 11% according to PALM-COEIN classification system. The frequency and percentage of all etiologies was calculated. Frequency of structural causes was Polyp 10 (6.7%), Adenomyosis 35 (23.5%), Leiomyomata 80 (53.7) and Malignancy 24 (16.1%). Nonstructural causes were Coagulation Disorders 5 (5.6%), Ovulatory 56 (37.6%), Endometrial Dysfunction 3 (3.4%), Iatrogenic 14 (15.7%) and Not-yet-classified 11 (12.4%). Development of a universally accepted classification system is a step towards facilitating clinicians, patients and researchers to communicate with each other and make objective management plans.
Reference Key
ansari2020studyjpma Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ansari, Asma;Urooj, Uzma;
Journal jpma the journal of the pakistan medical association
Year 2020
DOI
10.5455/JPMA.2749
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.