Evidence map›Paper›PMID 38115218›Full record

ArticleJournal of clinical laboratory analysis2024

Evaluation of chromosomal abnormalities in the postnatal cohort: A single-center study on 14,242 patients.

Hilal Akalin, Izem Olcay Sahin, Seyma Aktas Paskal, Busra Tan, Ezgi Yalcinkaya, Mikail Demir, Mustafa Yakubi, Busra Ozguc Caliskan, Ozlem Gokce Ekinci, Mehmet Ercan and 8 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 4 citations in OpenAlex.

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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

18 authors at 1 institution in 1 country.

Hilal AkalinDepartment of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.
Izem Olcay SahinDepartment of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.ORCID https://orcid.org/0000-0002-2105-4767
Seyma Aktas PaskalDepartment of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.
Busra TanDepartment of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.
Ezgi YalcinkayaDepartment of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.
Mikail DemirDepartment of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.
Mustafa YakubiDepartment of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.
Busra Ozguc CaliskanDepartment of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.
Ozlem Gokce EkinciDepartment of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.
Mehmet ErcanDepartment of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.
Tugce Yasar KucukDepartment of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.
Gizem GokgozDepartment of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.
Aslihan KirazDepartment of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.
Huseyin PerDepartment of Pediatric Neurology, Faculty of Medicine, Children's Hospital, Erciyes University, Kayseri, Türkiye.
Mahmut Tuncay OzgunDepartment of Obstetrics and Gynecology, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.
Numan BaydilliDepartment of Urology, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.
Yusuf OzkulDepartment of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.
Munis DundarDepartment of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.
Erciyes University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimChromosomal analysis is a laboratory technique used to examine the chromosomes of an individual, offering insights into chromosome numbers, structures, and arrangements to diagnose and comprehend genetic diseases. This retrospective study provides a comprehensive understanding of the distribution by indications in a large cohort of 14,242 patients and the frequency of chromosomal abnormalities in different clinical populations.

methodThe study examined various indications for karyotype evaluation, with recurrent pregnancy loss being the most common indication, followed by intellectual disability, dysmorphic features, congenital anomalies, and developmental delay.

resultsThe overall chromosomal abnormality rate was found to be 5.4%, with numerical abnormalities accounting for the majority of cases (61.7%). Trisomies, particularly trisomy 21, were the most frequent numerical abnormalities. In terms of structural abnormalities, inversions and translocations were the most commonly identified. The rates of chromosomal anomalies varied in specific indications such as amenorrhea, disorders of sex development, and Turner syndrome. The study also highlighted significant differences between males and females in the presence of chromosomal abnormalities across certain indications. Males exhibited a higher incidence of chromosomal abnormalities in cases of Down syndrome and infertility, whereas females showed higher abnormalities in terms of recurrent pregnancy loss.

conclusionWhile this study provides valuable insights into the frequency and distribution of chromosomal abnormalities, it has limitations, including its retrospective design and reliance on data from a single medical genetics department. Nevertheless, the findings emphasize the importance of karyotype analysis in diagnosing chromosomal disorders and providing appropriate management, while also pointing to potential gender-related variations in chromosomal abnormalities that warrant further investigation.

Indexed as

Abortion, HabitualChromosome DisordersDown SyndromeChromosome AberrationsFemaleHumansMalePregnancyRetrospective Studieschromosomal abnormalitygenderkaryotypepostnatal

Identifiers

PMID38115218
PMCPMC10829689
OpenAlexW4390016604

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Registered trials

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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.