Evidence map›Paper›PMID 39429402›Full record

ReviewCureus2024

Considerations in Premature Menopause: A Review.

Apoorva Dave, Dharmesh J Patel, Deepti Shrivastava, Kamlesh Chaudhari, Rahul Manchanda

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
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

5 authors.

Apoorva DaveDepartment of Obstetrics and Gynecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Dharmesh J PatelDepartment of Obstetrics and Gynecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Deepti ShrivastavaDepartment of Obstetrics and Gynecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Kamlesh ChaudhariDepartment of Obstetrics and Gynecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Rahul ManchandaDepartment of Obstetrics and Gynecology, Holy Family Hospital, New Delhi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Premature menopause impacts 1% of women under the age of 40. The women are at risk of premature death, ischemic disease of the heart, neurological conditions, mood disturbances, psychosexual problems, osteoporosis, and subfertility. There is an imperative for less complicated protocols and enhanced approaches for oocyte donation to get pregnant and achieve motherhood in at-risk women. A review of the pertinent literature on premature ovarian insufficiency and selected references was done. A comprehensive review was undertaken by searching the databases PubMed, Scopus, EMBASE, Web of Science, and Science Direct. Pregnancy in women with premature menopause was formerly uncommon, but because of recent advances in oocyte donation, women with premature menopause can now aspire to have a child. Hormone replacement treatment is useful in treating the negative effects of premature ovarian insufficiency. Women who experience early menopause are at risk for early mortality, ischemic heart disease, neurological conditions, mood problems, psychosexual disorder, osteoporosis, and subfertility. Public awareness and education are critical tools for saving women at peril.

Indexed as

bilateral oophorectomyestrogeninduced menopauseovarian failurepremature menopausespontaneous menopause

Identifiers

PMID39429402
PMCPMC11490301

What OpenQuestion holds

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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.