Evidence map›Paper›PMID 42729750›Full record

ArticleEJIFCC2026

Outcomes of Sweat Conductivity Testing and Referral Patterns for Cystic Fibrosis: A 10-Year Retrospective Single-Center Study in Albania.

Hamide Shllaku-Sefa, Teuta Dedej-Kurti, Ndok Marku

Abstract read
In one paragraph

Article in EJIFCC, 2026. 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
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.

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

3 authors.

Hamide Shllaku-SefaLaboratory Department, Catholic Hospital "Our Lady of Good Counsel", Tirana, Albania.
Teuta Dedej-KurtiLaboratory Department, Faculty of Medicine, University of Medicine, Tirana, Albania.
Ndok MarkuLaboratory Department, Catholic Hospital "Our Lady of Good Counsel", Tirana, Albania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cystic fibrosis (CF) is an autosomal recessive disorder. Sweat testing is a cornerstone of CF diagnosis and remains essential in settings where nationwide screening and registries are limited. Materials and Methods: We performed a retrospective single-center analysis of all patients referred for sweat testing in our laboratory between May 2015 and May 2025 (n=567). Sweat induction and collection were performed using the Macroduct® system, and analysis was conducted via the Sweat-Chek™ Analyzer (Model 3120, ELITechGroup). Statistical analysis was performed using Jamovi software (version 2.3.28). Results: The cohort included 302 males (53%) and 265 females (47%), with a mean age of 36.3 ±49.2 months (Median: 14; IQR: 4-48). The primary indications for referral were respiratory manifestations (57%), followed by gastrointestinal symptoms (14.1%), failure to thrive (6.2%), and others (4.2%). Asymptomatic individuals with no symptoms recorded at referral (18.2%). Diagnostic outcomes revealed that 83.4% of participants had normal results, 11.3% were positive, and 3% were borderline. A "quantity not sufficient" (QNS) rate of 2.3% was observed. Conclusions: In this single-center referral cohort, most sweat test results were normal, with an overall positive rate of 11.3% and low QNS rates that are benchmark favorably against published quality targets. Clear referral pathways and strengthened early-life evaluation (including expansion of screening access) may support earlier diagnosis and reduce disease burden.

Indexed as

AlbaniaCystic FibrosisImmunoreactive Trypsinogen (IRT)Quantity Not Sufficient (QNS)Sweat Chloride Test

Identifiers

PMID42729750
PMCPMC13563527

What OpenQuestion holds

Textmetadata
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.