Evidence map›Paper›PMID 26560217›Full record

ArticleAnais brasileiros de dermatologia

Dermal type I collagen assessment by digital image analysis.

Gabrielli Brianezi, Fabrizio Grandi, Ediléia Bagatin, Mílvia Maria S S Enokihara, Hélio Amante Miot

Abstract readValidation Study
In one paragraph

Article in Anais brasileiros de dermatologia. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

5 authors.

Gabrielli BrianeziUniversidade Estadual Paulista, Botucatu, SP, Brazil.
Fabrizio GrandiUniversidade Estadual Paulista, Botucatu, SP, Brazil.
Ediléia BagatinUniversidade Federal de São Paulo, São Paulo, SP, Brazil.
Mílvia Maria S S EnokiharaUniversidade Federal de São Paulo, São Paulo, SP, Brazil.
Hélio Amante MiotUniversidade Estadual Paulista, Botucatu, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type I collagen is the main dermal component, and its evaluation is relevant to quantitative studies in dermatopathology. However, visual gradation (0 to 4+) has low precision and high subjectivity levels. This study aimed to develop and validate a digital morphometric analysis technique to estimate type I collagen levels in the papillary dermis. Four evaluators visually quantified (0 to 4+) the density of type I collagen in 63 images of forearm skin biopsies marked by immunohistochemistry and two evaluators analyzed the same images using digital morphometric techniques (RGB split colors (I) and color deconvolution (II)). Automated type I collagen density estimation in the papillary dermis (two techniques) were correlated with visual evaluations (Spearman's rho coefficients of 0.48 and 0.62 (p<0.01)). With regard to the inter-observer repeatability, the four evaluators who used visual classification had an intraclass correlation coefficient (for absolute agreement) of 0.53, while the other two evaluators who used digital analysis (algorithm II) had an intraclass correlation coefficient of 0.97.

Indexed as

AlgorithmsAgedBiopsyCollagen Type IDermisHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedImmunohistochemistryMiddle AgedObserver VariationReproducibility of ResultsStaining and LabelingStatistics, NonparametricCollagen Type I

Identifiers

PMID26560217
PMCPMC4631237

What OpenQuestion holds

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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.