Evidence map›Paper›PMID 37719487›Full record

ReviewCureus2023

Recent Advancement in the Management of Intrauterine Adhesions Using Stem Cell Therapy: A Review Article.

Shreya Parashar, Sandhya Pajai, Tanmay Tarang

Abstract readReview
In one paragraph

Review in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. 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

3 authors.

Shreya ParasharObstetrics and Gynecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, Wardha, IND.
Sandhya PajaiObstetrics and Gynecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, Wardha, IND.
Tanmay TarangObstetrics and Gynecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, Wardha, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intrauterine adhesions (IUAs) are the formation of scar tissues in the endometrial cavity. The fibrous tissue in the uterus decreases the space inside the uterine cavity. It includes both endometrium and myometrium. It may lead to hypomenorrhea or amenorrhea, pain, difficulty in conceiving, and recurrent abortion. IUA is caused by uterine tissue damage mostly during surgical procedures such as dilatation and curettage. Other causes may include pregnancy-related complications, miscarriage, abnormal bleeding, infections, fibroid removal, and cesarean section (C-section). Patients generally do not have any symptoms and hence are unaware of the condition. The main therapeutic procedure presently used is hysteroscopic transcervical resection of adhesion (TCRA) with hormonal therapy and nondegradable stent as postoperative adjuvant therapy. It has some major limitations such as failure to prevent recurrence and preserve fertility along with difficulty in endometrial tissue repair due to its anatomical site. These limitations have forced the researchers to think about a better treatment modality. In recent times, a better treatment modality has evolved with stem cell therapy. Therefore, this review presents the recent and advanced therapeutic modalities for the treatment of IUAs.

Indexed as

asherman’s syndromeintrauterine adhesionsnewer treatment modalitystem cells therapyuterine regeneration

Identifiers

PMID37719487
PMCPMC10502444

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.