Evidence map›Paper›PMID 25673542›Full record

ReviewThe Indian journal of medical research2014

Emergency contraception - potential for women's health.

Suneeta Mittal

Abstract readReview
In one paragraph

Review in The Indian journal of medical research, 2014. 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
2.2field-weighted citation impact, top 12% 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, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Clinical Pharmacology of Hormonal Emergency Contraceptive Pills.International journal of reproductive medicine · 2018
    Review
  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

1 author at 1 institution in 1 country.

Suneeta MittalDepartment of Obstetrics & Gynecology, All India Institute of Medical Sciences, New Delhi, India.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emergency contraception (EC) is a safe and effective method which is used to prevent unwanted pregnancy after unprotected sexual intercourse. Many of the unwanted pregnancies end in unsafe abortions. The search for an ideal contraceptive, which does not interfere with spontaneity or pleasure of the sexual act, yet effectively controls the fertility, is still continuing. Numerous contraceptive techniques are available, yet contraceptive coverage continues to be poor in India. Thus, even when not planning for a pregnancy, exposure to unprotected sex takes place often, necessitating the use of emergency contraception. This need may also arise due to failure of contraceptive method being used (condom rupture, diaphragm slippage, forgotten oral pills) or following sexual assault. Emergency contraception is an intervention that can prevent a large number of unwanted pregnancies resulting from failure of regular contraception or unplanned sexual activity, which in turn helps in reducing the maternal mortality and morbidity due to unsafe abortions. However, a concern has been expressed regarding repeated and indiscriminate usage of e-pill, currently the rational use of emergency contraception is being promoted as it is expected to make a significant dent in reducing the number of unwanted pregnancies and unsafe abortions. In fact, since the introduction of emergency contraception, the contribution of unsafe abortion towards maternal mortality has declined from 13 to 8 per cent.

Indexed as

Abortion, InducedContraception, PostcoitalContraindicationsFemaleHumansPregnancyWomen's Health

Identifiers

PMID25673542
PMCPMC4345752
OpenAlexW2134080265

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.