Evidence map›Paper›PMID 39350882›Full record

ArticleCureus2024

Evaluation of Etiological Factors Associated With Abnormal Uterine Bleeding Among Teenage Girls in a Tertiary Care Center: A Cross-Sectional Study.

Vimalambigai K, Sasikala Ramaraj, Logeswari B M, Amirtha C

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Vimalambigai KObstetrics and Gynecology, Aarupadai Veedu Medical College and Hospital, Puducherry, IND.
Sasikala RamarajObstetrics and Gynecology, Aarupadai Veedu Medical College and Hospital, Puducherry, IND.
Logeswari B MObstetrics and Gynecology, Sree Balaji Medical College and Hospital, Chennai, IND.
Amirtha CObstetrics and Gynecology, Vinayaka Missions Medical College and Hospital, Karaikal, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbnormal uterine bleeding (AUB) refers to irregularities in the frequency, regularity, duration, and volume of menstrual cycles, impacting about one-third of women at some point in their lives, during menarche and perimenopausal periods. This study aims to evaluate the various causes of menstrual disorders in teenage girls. MATERIALS AND

methodsThis cross-sectional study was conducted in the Department of Obstetrics and Gynecology at AVMCH, Pondicherry, with ethical clearance. It included 150 girls aged 13-18 years who presented with menstrual disorders. Data were collected through structured interviews and clinical evaluations, focusing on menstrual history, socioeconomic status, associated symptoms, and investigations. Statistical analysis was performed using IBM SPSS Statistics for Windows, Version 23 (Released 2015; IBM Corp., Armonk, New York, United States).

resultsAmong the etiological factors, 61.3% of patients had anovulatory dysfunction, 16.6% had early onset of PCOS, 6% of patients had hypothyroidism, 16% had ovulatory dysfunction, and 0.6% had coagulation disorder. Overall, ovulatory dysfunction (AUB-O) was predominant in teenage girls.

conclusionThis study helps in the early identification of the etiology of adolescent AUB and the appropriate management of menstrual disorders to improve well-being and enhance reproductive function in the future.

Indexed as

abnormal uterine bleedinganovulatory dysfunctionhyperandrogenismmenstrual disorderspolycystic ovary syndrome (pcos)teenage girl

Identifiers

PMID39350882
PMCPMC11441836

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.