Evidence map›Paper›PMID 34721615›Full record

ReviewDrugs in context2021

A review of conventional and sustained-release formulations of oral natural micronized progesterone in obstetric indications.

Girija Narendrakumar Wagh, K M Kundavi Shankar, Sumitra Bachani

Open access · goldAbstract readReview
In one paragraph

Review in Drugs in context, 2021. 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
1.8field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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 at 1 institution in 1 country.

Girija Narendrakumar WaghGirija Hospital & Fertility Centre, Pune, India.ORCID https://orcid.org/0000-0002-0486-0214
K M Kundavi ShankarInstitute of Reproductive Medicine & Women's Health, Chennai, India.
Sumitra BachaniVardhman Mahavir Medical College & Safdarjung Hospital, New Delhi, India.
Vardhman Mahavir Medical College & Safdarjung Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExogenous progesterone is a treatment option for obstetric indications associated with reduced progesterone activity. Oral natural micronized progesterone (NMP) is effective, although it requires multiple daily doses and may cause adverse events due to its active metabolites. A sustained-release formulation of NMP (NMP-SR) has been developed to overcome the limitations of conventional oral NMP.

methodsThis narrative review examines the available evidence for oral NMP and NMP-SR in several obstetric indications of interest.

resultsLiterature searches identified 17 studies of oral NMP (luteal phase support during assisted reproduction, prevention of threatened miscarriage, prevention of preterm delivery), and clinical studies supporting use of NMP-SR (luteal phase support during intrauterine insemination, maintenance of high-risk pregnancy). Oral NMP was effective for luteal phase support during

conclusionsBy releasing progesterone gradually and circumventing first-pass metabolism, NMP-SR elicits the desired therapeutic effect with benefits over conventional oral NMP in terms of bioavailability, once-daily dosing and improved tolerability. Oral NMP-SR appears to be a valuable option for treating obstetric conditions associated with insufficient progesterone exposure.

Indexed as

high-risk pregnancyluteal supportnatural micronized progesteronepreterm laboursustained-release formulationsthreatened miscarriage

Identifiers

PMID34721615
PMCPMC8527984
OpenAlexW3207541405

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.