Evidence map›Paper›PMID 31934252›Full record

ArticleThe Pan African medical journal2019

[Case study of acute thoracic syndrome of unknown etiology in a pregnant woman].

Yvette Neema UfoyMungu, Jean Didier Bosenge Nguma, Gédéon Katenga Bosunga, Roland Marini Djangeing'a, Salomon Batina Agasa

Open access · goldAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in The Pan African medical journal, 2019. 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
–field-weighted citation impact, top 72% 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. 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

5 authors at 1 institution in 1 country.

Yvette Neema UfoyMunguDépartement de Gynécologie-Obstétrique, Cliniques Universitaires de Kisangani, Université de Kisangani, Kisangani, République Démocratique du Congo.
Jean Didier Bosenge NgumaDépartement de Gynécologie-Obstétrique, Cliniques Universitaires de Kisangani, Université de Kisangani, Kisangani, République Démocratique du Congo.
Gédéon Katenga BosungaDépartement de Gynécologie-Obstétrique, Cliniques Universitaires de Kisangani, Université de Kisangani, Kisangani, République Démocratique du Congo.
Roland Marini Djangeing'aDépartement de Pharmacie, Faculté de Médecine et de Pharmacie, Université de Kisangani, Kisangani, République Démocratique du Congo.
Salomon Batina AgasaDépartement de Médecine Interne, Cliniques Universitaires de Kisangani, Université de Kisangani, Kisangani, République Démocratique du Congo.
Université de Kisangani · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report a case of acute thoracic syndrome diagnosed in a Congolese pregnant woman in whom sickle-cell trait was detected after admission to hospital for fever and respiratory symptoms. Paraclinical examinations performed to detect the cause of the disease were unhelpful. Chest X-ray showed infiltrates at the base of the lungs. Sickle SCAN test kit confirmed by liquid chromatography associated with mass spectrometry showed that the patient had sickle cell trait Symptoms were quite refractory to treatment. A favorable outcome was observed after expulsion of the fetus. Clinicians should suspect acute thoracic syndrome in pregnant women with sickle-cell trait because outcome can be favorable in the postpartum period.

Indexed as

Acute DiseaseAdultFemaleHumansLung DiseasesPregnancyPregnancy ComplicationsSickle Cell TraitSyndromeacute thoracic syndromeKisanganipregnancySickle cell trait

Identifiers

PMID31934252
PMCPMC6945380
OpenAlexW3003525823

What OpenQuestion holds

Textmetadata
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.