Evidence map›Paper›PMID 31988058›Full record

ArticleBMJ case reports2020

Severe early-onset ovarian hyperstimulation syndrome with liver dysfunction in an IVF segmentation cycle.

Neeta Singh, Yogita Dogra, Monika Saini, Matheswari Govindarajan

Open access · bronzeAbstract readCase Reports
In one paragraph

Article in BMJ case reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Neeta SinghObstetrics & Gynecology, All India Institute of Medical Sciences, New Delhi, India.
Yogita DograObstetrics & Gynecology, All India Institute of Medical Sciences, New Delhi, India dryogitadogra@gmail.com.
Monika SainiObstetrics & Gynecology, All India Institute of Medical Sciences, New Delhi, India.
Matheswari GovindarajanObstetrics & 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

Severe early-onset ovarian hyperstimulation syndrome (OHSS) with deranged liver function tests is an entity that cannot be eliminated wholly even after gonadotropin-releasing hormone (GnRH) agonist trigger without any luteal human chorionic gonadotropin (hCG) rescue in a GnRH antagonist protocol with the freeze-all approach. We describe a case of young polycystic ovary syndrome patient with prior history of severe early-onset OHSS in her last in vitro fertilisation cycle in which she received antagonist protocol followed by blastocyst transfer. Given her history, she was planned for agonist trigger and freeze all approach during the present cycle. Despite segmentation of the cycle without any luteal rescue hCG, she developed early-onset severe OHSS with markedly deranged liver function tests for which she underwent ascitic tapping and remained hospitalised for 8 days. Her symptoms improved with conservative management, and she was discharged satisfactorily. She underwent letrozole based frozen-thawed embryo transfer cycle after 4 months. One good quality blastocyst was transferred, and she conceived in the same cycle.

Indexed as

AdultBlood Cell CountFemaleFertilization in VitroGonadotropin-Releasing HormoneHumansLiver DiseasesOvarian Hyperstimulation SyndromeUltrasonographyGonadotropin-Releasing Hormonepregnancyreproductive medicine

Identifiers

PMID31988058
PMCPMC7035818
OpenAlexW3001578797

What OpenQuestion holds

Textmetadata
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.