ReviewClinical medicine insights. Pathology2016
Diagnostic Implication and Clinical Relevance of Ancillary Techniques in Clinical Pathology Practice.
Review in Clinical medicine insights. Pathology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Natural language processing to develop a standardized lexicon for precision medicine in oncology.Journal of managed care & specialty pharmacy · 2026Article
- Advances in Avian Diagnostic Pathology: Current Trends, Challenges and Future Directions: A Review.Veterinary medicine and science · 2026Review
- Proteomic profiling of urinary extracellular vesicles differentiates breast cancer patients from healthy women.PloS one · 2023Article
- Fluorescence in situ hybridization in species-specific diagnosis of ovineJournal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2020Article
- Emerging Advances to Transform Histopathology Using Virtual Staining.BME frontiers · 2020Review
- Biochemical similarity between cultured chondrocytes andBiotechnology reports (Amsterdam, Netherlands) · 2019Article
- Single molecule localization microscopy coupled with touch preparation for the quantification of trastuzumab-bound HER2.Scientific reports · 2018Article
- Fit-for-Purpose Immunohistochemical Biomarkers.Endocrine pathology · 2018Review
- Biocompatibility of intravitreal injection of human mesenchymal stem cells in immunocompetent rabbits.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2018Article
- Superresolution Imaging of Clinical Formalin Fixed Paraffin Embedded Breast Cancer with Single Molecule Localization Microscopy.Scientific reports · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hematoxylin-eosin-stained slide preparation is one of the most durable techniques in medicine history, which has remained unchanged since implemented. It allows an accurate microscopic diagnosis of the vast majority of tissue samples. In many circumstances, this technique cannot answer all the questions posed at the initial diagnostic level. The pathologist has always been looking for additional ancillary techniques to answer pending questions. In our daily histopathology practice, we referred to those techniques as special stains, but nowadays, they are more than stains and are collectively called ancillary tests. They include a wide range of techniques starting from histochemical stains and ending in one or more advanced techniques, such as immunohistochemistry, immunofluorescence, molecular studies, cytogenetic studies, electron microscopy, flow cytometry, and polymerase chain reaction.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.