Evidence map›Paper›PMID 8782047›Full record

ArticleJournal of medical genetics1996

Molecular epidemiology of cystic fibrosis mutations and haplotypes in southern Italy evaluated with an improved semiautomated robotic procedure.

G Castaldo, E Rippa, G Sebastio, V Raia, P Ercolini, G de Ritis, D Salvatore, F Salvatore

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical genetics, 1996. 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
3.1field-weighted citation impact, top 9% 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, 25 citations in OpenAlex.

  1. Genetic diseases that predispose to early liver cirrhosis.International journal of hepatology · 2014
    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

8 authors at 1 institution in 1 country.

G CastaldoDipartimento di Biochimica e Biotecnologie Mediche, Naples, Italy.
E Rippa
G Sebastio
V Raia
P Ercolini
G de Ritis
D Salvatore
F Salvatore
Ceinge Biotecnologie Avanzate (Italy) · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We screened for 22 cystic fibrosis (CF) mutations in DNA from a first cohort of 69 CF patients from southern Italy using a semiautomated allele specific oligonucleotide (ASO) dot blot procedure based on two multiplex PCR amplifications. Seven mutations (delta F508, N1303K, G542X, 1717-1 G-->A, W1282X, 1148T, and R553X) identified 77.6% of CF chromosomes. Detection reached 79.8% with the 2183 AA-->G mutation analysed with the restriction generating PCR method. Thus, we included the 2183 AA-->G mutation in the ASO protocol and set up the conditions to amplify the gene regions that include the eight mutations in a single multiplex PCR reaction. With this method we tested the DNA of the first cohort of 69 CF patients, a second cohort of 63 CF patients, and 300 carrier relatives; we also performed 12 prenatal diagnoses. The results from the 132 CF patients showed differences in the distribution of CF mutations between the south and north of Italy. The XV2c, KM19, and intron 8 VNDR haplotypes suggested the presence, in CF chromosomes bearing undetected mutations, of a limited number of unknown mutations typical of southern Italy. Finally, for six of the eight mutations, we compared the ASO procedure with the methods based on restriction enzymes; the results obtained with the two procedures were identical for all the 57 chromosomes compared.

Indexed as

Molecular EpidemiologyCarrier StateCohort StudiesCystic FibrosisDouble-Blind MethodHaplotypesHumansItalyMutationPolymerase Chain ReactionPrenatal DiagnosisRobotics

Identifiers

PMID8782047
PMCPMC1050633
OpenAlexW2114604720

What OpenQuestion holds

Textmetadata
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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.