Evidence map›Paper›PMID 34422174›Full record

Observational studyThe Pan African medical journal2021

[Unadjusted and customized fetal growth curves: a comparative study in a sub-Saharan population].

Abdoulaye Diakhaté, Mame Diarra Ndiaye, Mamour Guèye, Magatte Mbaye, Pape Moctar Faye, Moussa Diallo, Simon Birame Ndour, Mouhamadou Wade, Aliou Diouf, Jean Charles Moreau

Open access · goldAbstract readCase ReportsComparative StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in The Pan African medical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 94% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 3 institutions in 1 country.

Abdoulaye DiakhatéClinique Gynécologique et Obstétricale de l´Hôpital Aristide Le Dantec, Université Cheikh Anta Diop de Dakar, Dakar, Sénégal.
Mame Diarra NdiayeClinique Gynécologique et Obstétricale de l´Hôpital Aristide Le Dantec, Université Cheikh Anta Diop de Dakar, Dakar, Sénégal.
Mamour GuèyeClinique Gynécologique et Obstétricale de l´Hôpital Aristide Le Dantec, Université Cheikh Anta Diop de Dakar, Dakar, Sénégal.
Magatte MbayeCentre de Santé Philippe Maguilèn Senghor, Université Gaston Berger de Saint-Louis, Saint-Louis, Sénégal.
Pape Moctar FayeHôpital d´Enfants Albert Royer, Université Cheikh Anta Diop de Dakar, Dakar, Sénégal.
Moussa DialloClinique Gynécologique et Obstétricale de l´Hôpital Aristide Le Dantec, Université Cheikh Anta Diop de Dakar, Dakar, Sénégal.
Simon Birame NdourClinique Gynécologique et Obstétricale de l´Hôpital Aristide Le Dantec, Université Cheikh Anta Diop de Dakar, Dakar, Sénégal.
Mouhamadou WadeClinique Gynécologique et Obstétricale de l´Hôpital Aristide Le Dantec, Université Cheikh Anta Diop de Dakar, Dakar, Sénégal.
Aliou DioufClinique Gynécologique et Obstétricale de l´Hôpital Aristide Le Dantec, Université Cheikh Anta Diop de Dakar, Dakar, Sénégal.
Jean Charles MoreauClinique Gynécologique et Obstétricale de l´Hôpital Aristide Le Dantec, Université Cheikh Anta Diop de Dakar, Dakar, Sénégal.
Hôpital Aristide Le Dantec · SNCheikh Anta Diop University · SNUniversité Gaston Berger · SN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to compare the unadjusted EPOPé M0 curve with the customized Gardosi curve in the diagnosis of small-for-gestational-age (SGA) fetuses in a sub-Saharan population. We compared the Gardosi et al. and EPOPé M0 classifications. Classification differences were analyzed according to patient characteristics and obstetric conditions. Data collected from FileMaker software were analyzed using SPSS 20.0 and R Studio software. The statistical tests were carried out according to applicability conditions. Alpha risk was set at 0.05. The Gardosi curve showed that the rate of SGA newborns was higher (31.4% versus 28.9%) and did not differ between overweight and normal-weight women. The rate of severe SGA in preterm infants was also higher (23.6 versus 19.7%). Diseases were more frequent in newborns classified as severe SGA by the customized growth curve. The customized curve is recommended for the sub-Saharan Africa population.

Indexed as

AdultAfrica South of the SaharaCohort StudiesFemaleFetal DevelopmentFetal Growth RetardationGestational AgeHumansInfant, NewbornInfant, PrematureMaleOverweightPregnancyReference ValuesRetrospective StudiesSeverity of Illness IndexEPOPé M0fetal growth curvesGardosiGestational age

Identifiers

PMID34422174
PMCPMC8363973
OpenAlexW3162831061

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.