Evidence map›Paper›PMID 33284866›Full record

ArticleNigerian medical journal : journal of the Nigeria Medical Association

Suspected Pulmonary Embolism Postcesarean Section in a Patient with Autosomal Dominant Polycystic Kidney Disease.

Olusegun O Badejoko, Olufunke F Dada, Akaninyene E Ubom, Olumuyiwa T Ajayeoba

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Nigerian medical journal : journal of the Nigeria Medical Association. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Olusegun O BadejokoDepartment of Obstetrics, Gynaecology and Perinatology, Obafemi Awolowo University, Ile-Ife, Nigeria.
Olufunke F DadaDepartment of Anaesthesia, Obafemi Awolowo University, Ile-Ife, Nigeria.
Akaninyene E UbomDepartment of Obstetrics and Gynaecology, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Nigeria.
Olumuyiwa T AjayeobaDepartment of Anaesthesia, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Nigeria.
Obafemi Awolowo University Teaching Hospitals Complex · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetically inherited kidney disease worldwide. It is however relatively underdiagnosed in Africans because its diagnosis is often incidental. During pregnancy, ADPKD is associated with increased risk of preeclampsia and venous thromboembolism. The case of a 33-year-old lady incidentally diagnosed with ADPKD during pregnancy is presented. She developed preeclampsia at term and had cesarean delivery of twins. She however suffered cardiopulmonary arrest postoperatively and this created a treatment dilemma because therapeutic anticoagulation which was the primary treatment for her suspected pulmonary embolism was absolutely contraindicated if the actual cause of her collapse was ruptured cerebral aneurysm which was also a feature of ADPKD. We decided to resuscitate aggressively and perform an urgent cranial computed tomography which ruled out intracranial hemorrhage. We then commenced anticoagulation and she made an excellent recovery. This case illustrates the importance of a timely multidisciplinary approach to patient management.

Indexed as

Anticoagulationcardiopulmonary arrestcerebral aneurysmpolycystic kidney diseasepostpartum collapsepulmonary embolism

Identifiers

PMID33284866
PMCPMC7688026
OpenAlexW3047116720

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.