Evidence map›Paper›PMID 41954362›Full record

ArticlePathologica2026

Automated paraffin embedding of tissue samples significantly reduces overall workflow time in routine pathology practice.

Alessandro Gambella, Laura Zito, Cristina Bottaro, Michele Paudice, Giulia Tacchino, Viviana Accorrà, Claudio Piccione, Martina Terrile, Anna Silvana Bevere, Barbara Massa and 3 more

Abstract read
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In one paragraph

Article in Pathologica, 2026. 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
–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

1 citing paper in PubMed.

  1. Basic Principles of Skin Biopsy Optimization in Dermatopathology.Dermatopathology (Basel, Switzerland) · 2026
    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

13 authors.

Alessandro GambellaUnit of Pathology, Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.
Laura ZitoAcademic Unit of Pathology (U77) - IRCCS Azienda Ospedaliera Metropolitana (AOM) San Martino Policlinic Hospital, Genoa, Italy.
Cristina BottaroAcademic Unit of Pathology (U77) - IRCCS Azienda Ospedaliera Metropolitana (AOM) San Martino Policlinic Hospital, Genoa, Italy.
Michele PaudiceUnit of Pathology, Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.
Giulia TacchinoAcademic Unit of Pathology (U77) - IRCCS Azienda Ospedaliera Metropolitana (AOM) San Martino Policlinic Hospital, Genoa, Italy.
Viviana AccorràAcademic Unit of Pathology (U77) - IRCCS Azienda Ospedaliera Metropolitana (AOM) San Martino Policlinic Hospital, Genoa, Italy.
Claudio PiccioneAcademic Unit of Pathology (U77) - IRCCS Azienda Ospedaliera Metropolitana (AOM) San Martino Policlinic Hospital, Genoa, Italy.
Martina TerrileAcademic Unit of Pathology (U77) - IRCCS Azienda Ospedaliera Metropolitana (AOM) San Martino Policlinic Hospital, Genoa, Italy.
Anna Silvana BevereAcademic Unit of Pathology (U77) - IRCCS Azienda Ospedaliera Metropolitana (AOM) San Martino Policlinic Hospital, Genoa, Italy.
Barbara MassaAcademic Unit of Pathology (U77) - IRCCS Azienda Ospedaliera Metropolitana (AOM) San Martino Policlinic Hospital, Genoa, Italy.
Silvia BozzanoUnit of Pathology, Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.
Federica GrilloUnit of Pathology, Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.
Luca MastracciUnit of Pathology, Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Automated paraffin embedding (AE) offers a solution to the operator-dependent variability and time demands manual embedding (ME), but comparative data are limited. Methods: We quantitatively assessed AE versus ME using 186 endoscopic biopsies, 106 needle biopsies, and 62 transurethral resections, recording the time (seconds, s) required for preparation, embedding, trimming, and sectioning. Results: AE substantially reduced embedding time (5 s for all sample types) compared with ME (43 s for endoscopic biopsies, 66.5 s for needle biopsies, and 105 s for transurethral samples), and it allowed laboratory technicians to perform other tasks concurrently. AE also shortened total time: 150.2 s (AE) vs. 250.4 s (ME) for endoscopic biopsies, 176.9 s (AE) vs. 324.2 s (ME) for needle biopsies, and 149.5 s (AE) vs. 335 s (ME) for transurethral resections. Conclusions: These real-world data provide quantitative evidence of AE-related time savings in daily routine activity, supporting its role in workflow automation and standardization in pathology units.

Indexed as

Paraffin EmbeddingWorkflowAutomationAutomation, LaboratoryBiopsy, NeedleHumansTime Factorsautomated embeddinghistopathology automationworkflow optimization

Identifiers

PMID41954362
PMCPMC13094320

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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.