Evidence map›Paper›PMID 34290806›Full record

ArticlePakistan journal of medical sciences

Some, but not all of the premenstrual syndrome symptoms affect the medical exam scores in medical students.

Filiz Bilir, Ramazan Akdemir, Cemil Bilir

Open access · goldAbstract read
In one paragraph

Article in Pakistan journal of medical sciences. 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
0.2field-weighted citation impact, top 44% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

3 authors at 2 institutions in 2 countries.

Filiz BilirFiliz Bilir, Department of Medical Education, Sakarya University School of Medicine, Sakarya, Turkey.
Ramazan AkdemirRamazan Akdemir, Department of Cardiology and Medical Education, Sakarya University School of Medicine, Sakarya, Turkey.
Cemil BilirCemil Bilir, Department of Internal Medicine, Sakarya University School of Medicine, Sakarya, Turkey.
Sakarya University · TRUniversidad CES · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis research aims to identify the effects of premenstrual syndrome (PMS) symptoms on the school exam scores in medical students.

methodsThis cross-sectional study was designed at Sakarya University School of Medicine The study included medical students who were in the first, second, and third year of class. In this study, there were 193 male and 100 female students. The study investigated how PMS symptoms affected medical student's exam scores and school success. All exam scores were recorded during the two-consecutive semester so duration of study was one year.

resultsThere were 100 female students, and they had five different committee exams for one year. Female student's exam scores were significantly higher for four committees and an average score of all year. The mean age of female students was 19.9 ±1.5. Acne, nausea/vomiting, sleeping, abdominal bloating, and prurience change had significantly different exam scores compared to the group without these symptoms. Students with acne had substantially higher exam scores than without acne; inversely, the other four symptoms negatively affected exam scores.

conclusionSome of the PMS symptoms can be more annoying and should change the quality of life more than the other symptoms, so we should define these symptoms to improve our student's quality of life and school success.

Indexed as

Exam scoresMedical studentsPremenstrual syndrome symptoms

Identifiers

PMID34290806
PMCPMC8281196
OpenAlexW3158567493

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.