Evidence map›Paper›PMID 35847136›Full record

ReviewJournal of education and health promotion2022

Post-COVID-19 menstrual abnormalities and infertility: Repercussions of the pandemic.

Sparsh Madaan, Dhruv Talwar, Arpita Jaiswal, Sunil Kumar, Neema Acharya, Sourya Acharya, Deepika Dewani

Open access · goldAbstract readReview
In one paragraph

Review in Journal of education and health promotion, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Review
  12. Article
  13. The Impact of COVID-19 on Menstrual Cycle in Women.Journal of clinical medicine · 2023
    Article
  14. Review
  15. Menstrual Changes after COVID-19 Infection and COVID-19 Vaccination.International journal of clinical practice · 2022
    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

7 authors at 2 institutions in 1 country.

Sparsh MadaanDepartment of Obstetrics and Gynaecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Wardha, Maharashtra, India.
Dhruv TalwarDepartment of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Wardha, Maharashtra, India.
Arpita JaiswalDepartment of Obstetrics and Gynaecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Wardha, Maharashtra, India.
Sunil KumarDepartment of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Wardha, Maharashtra, India.
Neema AcharyaDepartment of Obstetrics and Gynaecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Wardha, Maharashtra, India.
Sourya AcharyaDepartment of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Wardha, Maharashtra, India.
Deepika DewaniDepartment of Obstetrics and Gynaecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Wardha, Maharashtra, India.
Jawaharlal Nehru Medical College · INDatta Meghe Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While battling the life-threatening complications of COVID-19, its effect on the menstrual cycle and infertility has been somewhat ignored. This brief review aims on highlighting the importance of menstrual abnormalities being experienced during the post-COVID period and to make the clinicians aware about what to expect in regard of menstrual abnormalities by learning from various studies that have been conducted worldwide. This review article was written with systematic literature review with the help of data search machine such as PubMed, Scopus, Web of Sciences, and Google Scholar. A search strategy leads to the extraction of 160 related articles that after the removal of inappropriate and duplicate articles, 33 articles were selected for the review. To find other potentially relevant articles, the references of the extracted articles were thoroughly examined. The search was carried out using keywords including "COVID-19," "Menstrual abnormalities," and "Infertility." Using OR and AND, the keywords mentioned above were combined and then utilized in the search box of the databases. Articles published from January 2020 to September 2021 were included in this study. It includes worldwide data ranging from studies done in China, India, Ireland, Turkey, Jordan, and Germany. During the post-COVID period, there is a significant alteration in the sex hormones of females infected by COVID-19 which may manifest as menstrual cycle abnormalities such as decreased cycle length or prolonged menstrual cycle bleeding. It may also manifest as infertility due to ovarian failure due to suppression of ovarian function COVID-19 a novel coronavirus which is presently a pandemic has affected the world in manner reminding the world of 1918 Spanish flu. However, while battling the deadly pandemic, the clinicians should also be aware of the repercussions of the effect this infection has on multiple organs such as ovarian suppression leading to infertility, oligomenorrhea, or menorrhagia.

Indexed as

COVID-19infertilitymenstrual abnormalities

Identifiers

PMID35847136
PMCPMC9277727
OpenAlexW4285821513

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.