Evidence map›Paper›PMID 27790464›Full record

ArticleJournal of clinical and diagnostic research : JCDR2016

Cytogenetic Analysis for Suspected Chromosomal Abnormalities; A Five Years Experience.

Sunil Kumar Polipalli, Vijay Kumar Karra, Ankur Jindal, Madhavi Puppala, Pratiksha Singh, Kanchan Rawat, Seema Kapoor

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In one paragraph

Article in Journal of clinical and diagnostic research : JCDR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
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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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Sunil Kumar PolipalliCytogeneticist, Pediatrics Research & Genetic Lab, Department of Pediatrics, MAMC & Associated Lok Nayak Hospital , New Delhi, India .
Vijay Kumar KarraResearch Associate, Department of Medicine, MAMC , New Delhi, India .
Ankur JindalStudent, Pediatrics Research & Genetic Lab, Department of Pediatrics, MAMC & Associated Lok Nayak Hospital , New Delhi, India .
Madhavi PuppalaSenior Research Fellow, Pediatrics Research & Genetic Lab, Department of Pediatrics, MAMC & Associated Lok Nayak Hospital , New Delhi, India .
Pratiksha SinghPhD Student, Pediatrics Research & Genetic Lab, Department of Pediatrics, MAMC & Associated Lok Nayak Hospital , New Delhi, India .
Kanchan RawatCytogenetic Technician, Pediatrics Research & Genetic Lab, Department of Pediatrics, MAMC & Associated Lok Nayak Hospital , New Delhi, India .
Seema KapoorProfessor, Pediatrics Research & Genetic Lab, Department of Pediatrics, MAMC & Associated Lok Nayak Hospital , New Delhi, India .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChromosomal abnormalities are the results of alterations in the number or structure of chromosomes causing significant human morbidity and mortality. They are responsible for a large proportion of miscarriages, developmental delay, disorders of sexual development, congenital malformations and mental retardation.

aimThe aim of this study was to describe the prevalence of different chromosomal abnormalities in North Indian patients referred for cytogenetic analysis. MATERIALS AND

methodsTotal of 859 patients ranging from newborn to 37 years of age were referred to the division of genetics, Department of Paediatrics between 2010 and 2015, with a variety of clinical disorders; Down syndrome (DS), Turner's syndrome (TS) and Klinefelter syndrome; amenorrhea; ambiguous sex and multiple congenital malformations. Chromosomal analysis was performed on lymphocyte culture according to standard methods.

resultsOf the 859 cases studied, 371 (43.1%) had chromosomal abnormalities. The most common autosomal abnormalities were DS 302 (81.4%) and sex chromosomal abnormalities were TS 51 (13.7%). Numerical abnormalities were accounted for 353 (41.0%) and structural abnormalities 18 (2.0%), respectively. Various other chromosomal anomalies were also reported.

conclusionWe have reviewed the incidence and distribution of chromosomal abnormalities and found higher rate of chromosomal abnormalities 43.1% in the referred cases. Our data suggest that chromosomal analysis is important tool in the evaluation of genetic disorders and helps clinicians to provide accurate diagnosis and proper genetic counselling.

Indexed as

AneuploidyAutosomesCytogenetic analysisKaryotypesSex chromosomes

Identifiers

PMID27790464
PMCPMC5071964

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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.