Evidence map›Paper›PMID 40531352›Full record

ArticleVirchows Archiv : an international journal of pathology2026

The Amsterdam Criteria and beyond: development of a Standardized Structured Reporting (SSR) tool for diagnosis of placental pathology.

Ekaterina Bazyleva, Lotte E van der Meeren, Mirthe H Schoots, Linda M Ernst, T Yee Khong, Neil J Sebire, Paul Seegers, Sanne J Gordijn

Abstract read
In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Standardized Placental Pathology Reporting: Improving Quality and Clinical Utility Recommendations From the Society for Pediatric Pathology Placental Pathology Reporting Task Force.Pediatric and developmental pathology : the official journal of the Society for Pediatric Pathology and the Paediatric Pathology Society
    Article
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.

Ekaterina BazylevaBelgian Society of Pathology, Brussels, Belgium.ORCID http://orcid.org/0009-0000-7851-101X
Lotte E van der MeerenDepartment of Pathology, Leiden University Medical Center, University of Leiden, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-4537-5645
Mirthe H SchootsDepartment of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713, GZ, Groningen, The Netherlands.ORCID http://orcid.org/0000-0003-2168-2517
Linda M ErnstDepartment of Pathology and Laboratory Medicine, Evanston, IL, USA and Department of Pathology, Evanston Hospital, University of Chicago Pritzker School of Medicine, Endeavor Health, Chicago, IL, USA.
T Yee KhongDepartment of Anatomical Pathology, Women's and Children's Hospital, North Adelaide, South Australia.ORCID http://orcid.org/0000-0002-2404-007X
Neil J SebireDepartment of Pediatric Pathology, NIHR Great Ormond Street Hospital Biomedical Research Centre, London, UK.ORCID http://orcid.org/0000-0001-5348-9063
Paul SeegersPalga, National Pathology databank, Houten, Netherlands.ORCID http://orcid.org/0000-0002-7617-415X
Sanne J GordijnDepartment of Obstetrics and Gynaecology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713, GZ, Groningen, The Netherlands. s.j.gordijn@umcg.nl.ORCID http://orcid.org/0000-0003-3915-8609

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lack of standardized reporting in placental pathology limits research scalability and clinical application despite consensus-based criteria like the Amsterdam Criteria. This study presents the development and implementation of a comprehensive Standardized Structured Reporting (SSR) tool for placental pathology. Utilizing the LogicNets© platform, the tool incorporates the Amsterdam Criteria, Freedman placental phenotype classification system, and consensus recommendations on placental examination. Development involved collaboration with placental pathology experts, literature review, and iterative feedback from pathologists to address reporting inconsistencies and ensure practicality. The SSR tool integrates evidence-based standards for examining and phenotyping the placenta, including structured gross and microscopic analyses. It introduces control mechanisms for severity grading and phenotype assignment, enabling precise assessment of placental lesions, even in multiple births. Organized into sections-Demographics, Macroscopy, Microscopy, and Group and Phenotype-it efficiently records and analyzes data. Additional functionalities include automated calculations of gross placental features, built-in controls, and versatile documentation of microscopic observations. The tool is designed for seamless integration into clinical workflows. Implementing the SSR tool could enhance placental pathology reporting quality, completeness, and consistency, facilitating large-scale analyses. Discrete data capture enables robust research, potentially improving the clinical utility and understanding of placenta-mediated diseases. However, further validation is required before widespread adoption. Embracing SSR could standardize placental examination, improve clinical interpretation, and advance research in placental pathology for enhanced utility in both research and clinical care.

Indexed as

PlacentaPlacenta DiseasesFemaleHumansPhenotypePregnancyAmsterdam CriteriaAutomated CalculationsConsensus guidelinesDatabase IntegrationData StandardizationDiagnostic AccuracyFreedman-Ernst Placental Phenotype ClassificationHistopathological ExaminationMacroscopic and Microscopic AssessmentPlacentaPlacental LesionsPlacental pathologyResearchStandardized Structured Reporting (SSR)

Identifiers

PMID40531352
PMCPMC12963073

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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.