Evidence map›Paper›PMID 40927603›Full record

ArticleJournal of healthcare, science and the humanities

The Effects of Covid-19 Vaccination on Menstruation: Are women with underlying reproductive health conditions, particularly black women at a higher risk for vaccine-related menstruation complications?

Avia Sutton

Abstract read
In one paragraph

Article in Journal of healthcare, science and the humanities. 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

1 author.

Avia SuttonUniversity of Texas Health, Austin Pediatric Neurosciences at Dell Children's Hospital, aviasutton@gmail.com, 512-628-1855.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study investigates the potential impact of COVID-19 vaccines on menstrual cycles, with a particular focus on Black women and those with underlying reproductive health conditions. Despite numerous reports of menstrual irregularities post-vaccination, research on this subject remains limited. The study aims to explore whether these irregular cycles could indicate broader reproductive health concerns, such as reduced ovarian reserve, and whether certain vaccines are more likely to cause these changes. It also examines the concept of «contraceptive masking,» where hormonal contraceptives may mask the true extent of underlying reproductive health issues. A survey was conducted among women of diverse racial and geographical backgrounds to assess changes in menstruation following COVID-19 vaccination. The findings revealed that Pfizer's vaccine was most associated with menstrual changes, including heavier and longer periods, particularly after the second dose. In some cases, women who rarely menstruated before vaccination began to experience cycles post-vaccination. The study also suggests that vaccination timing relative to the menstrual cycle may influence these changes. Women of color, especially Black women, may be at higher risk for vaccine-related menstrual disturbances due to a higher prevalence of conditions like fibroids. The research emphasizes the need for further studies on the effects of COVID-19 vaccines on menstruation, particularly among women of color and those with reproductive health conditions. It also calls for individualized treatment plans to address these potential side effects and prevent serious conditions, such as premature ovarian failure, from being overlooked.

Indexed as

Black womencontraceptive maskingCOVID-19 vaccinesmenstrual irregularitiesmenstruationovarian reservereproductive health

Identifiers

PMID40927603
PMCPMC12416238

What OpenQuestion holds

Textmetadata
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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.