Evidence map›Paper›PMID 25409313›Full record

ArticlePloS one2014

Direct comparison of flow-FISH and qPCR as diagnostic tests for telomere length measurement in humans.

Fernanda Gutierrez-Rodrigues, Bárbara A Santana-Lemos, Priscila S Scheucher, Raquel M Alves-Paiva, Rodrigo T Calado

Abstract readComparative Study
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 1 pooled it
–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

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

  1. Pooled it
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  4. Telomere Length and Use of Immunosuppressive Medications in Idiopathic Pulmonary Fibrosis.American journal of respiratory and critical care medicine · 2019
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  5. Danazol Treatment for Telomere Diseases.The New England journal of medicine · 2016
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38 more citing papers are in PubMed but not listed here.

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

5 authors.

Fernanda Gutierrez-RodriguesDepartment of Internal Medicine, University of São Paulo at Ribeirão Preto School of Medicine, Ribeirão Preto, São Paulo, Brazil; Center for Cell-based Therapy, São Paulo Research Foundation (FAPESP), Ribeirão Preto, São Paulo, Brazil.
Bárbara A Santana-LemosDepartment of Internal Medicine, University of São Paulo at Ribeirão Preto School of Medicine, Ribeirão Preto, São Paulo, Brazil; Center for Cell-based Therapy, São Paulo Research Foundation (FAPESP), Ribeirão Preto, São Paulo, Brazil.
Priscila S ScheucherDepartment of Internal Medicine, University of São Paulo at Ribeirão Preto School of Medicine, Ribeirão Preto, São Paulo, Brazil; Center for Cell-based Therapy, São Paulo Research Foundation (FAPESP), Ribeirão Preto, São Paulo, Brazil.
Raquel M Alves-PaivaDepartment of Internal Medicine, University of São Paulo at Ribeirão Preto School of Medicine, Ribeirão Preto, São Paulo, Brazil; Center for Cell-based Therapy, São Paulo Research Foundation (FAPESP), Ribeirão Preto, São Paulo, Brazil.
Rodrigo T CaladoDepartment of Internal Medicine, University of São Paulo at Ribeirão Preto School of Medicine, Ribeirão Preto, São Paulo, Brazil; Center for Cell-based Therapy, São Paulo Research Foundation (FAPESP), Ribeirão Preto, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telomere length measurement is an essential test for the diagnosis of telomeropathies, which are caused by excessive telomere erosion. Commonly used methods are terminal restriction fragment (TRF) analysis by Southern blot, fluorescence in situ hybridization coupled with flow cytometry (flow-FISH), and quantitative PCR (qPCR). Although these methods have been used in the clinic, they have not been comprehensively compared. Here, we directly compared the performance of flow-FISH and qPCR to measure leukocytes' telomere length of healthy individuals and patients evaluated for telomeropathies, using TRF as standard. TRF and flow-FISH showed good agreement and correlation in the analysis of healthy subjects (R(2) = 0.60; p<0.0001) and patients (R(2) = 0.51; p<0.0001). In contrast, the comparison between TRF and qPCR yielded modest correlation for the analysis of samples of healthy individuals (R(2) = 0.35; p<0.0001) and low correlation for patients (R(2) = 0.20; p = 0.001); Bland-Altman analysis showed poor agreement between the two methods for both patients and controls. Quantitative PCR and flow-FISH modestly correlated in the analysis of healthy individuals (R(2) = 0.33; p<0.0001) and did not correlate in the comparison of patients' samples (R(2) = 0.1, p = 0.08). Intra-assay coefficient of variation (CV) was similar for flow-FISH (10.8 ± 7.1%) and qPCR (9.5 ± 7.4%; p = 0.35), but the inter-assay CV was lower for flow-FISH (9.6 ± 7.6% vs. 16 ± 19.5%; p = 0.02). Bland-Altman analysis indicated that flow-FISH was more precise and reproducible than qPCR. Flow-FISH and qPCR were sensitive (both 100%) and specific (93% and 89%, respectively) to distinguish very short telomeres. However, qPCR sensitivity (40%) and specificity (63%) to detect telomeres below the tenth percentile were lower compared to flow-FISH (80% sensitivity and 85% specificity). In the clinical setting, flow-FISH was more accurate, reproducible, sensitive, and specific in the measurement of human leukocyte's telomere length in comparison to qPCR. In conclusion, flow-FISH appears to be a more appropriate method for diagnostic purposes.

Indexed as

AdolescentAdultAgedAged, 80 and overAnemia, AplasticChildChild, PreschoolDyskeratosis CongenitaFemaleHumansIdiopathic Pulmonary FibrosisInfantInfant, NewbornIn Situ Hybridization, FluorescenceLeukocytesMale

Identifiers

PMID25409313
PMCPMC4237503

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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.