ArticleOncology2025
Metastatic Patterns: Insights from Japanese Pathological Autopsy Registry Analysis.
Article in Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionUnderstanding the metastatic patterns is crucial for the treatment of malignancies. This study aimed to identify the characteristic organ metastases of primary malignancies, including rare malignancies, and classify them according to their metastatic patterns.
methodsWe extracted data on primary malignancies and organ metastases from the Annual of Pathological Autopsy Cases in Japan recorded in 1993-2021. Autopsy findings of the primary and metastatic organs in patients with malignancy were recorded on an organ-by-organ basis. The metastatic frequency (number of metastases per autopsy) and the proportion (percentage of organs with metastases out of the total in a primary malignancy) for 48 organ metastasis sites across 76 primary malignancies were calculated. Metastatic patterns were classified into hierarchical and nonhierarchical clustering classifications based on the standard proportion of organ metastases.
resultsA total of 332,195 autopsy cases and 810,206 organ metastases were analyzed. The metastatic frequency of all malignancies was 2.44. Malignancies of the placenta, eye, and ovary showed a higher propensity for metastasis, whereas central nervous system malignancies showed a lower tendency. Metastasis site was a characteristic of each malignancy, with a particularly high proportion of lung metastasis in parathyroid malignancy and bone metastasis in prostate malignancy. In the hierarchical and nonhierarchical cluster methods, brain, lung, liver, bone, peritoneum, and hematolymphoid organ were key metastatic sites, and this factor divided primary malignancies into seven categories. The unweighted kappa coefficient comparing the two classification methods was 0.84 (95% confidence interval: 0.75-0.93). The proportion of metastatic organs was influenced by anatomical location and/or organ specificity of the primary malignancies.
conclusionOur study provides a comprehensive overview of the patterns and frequencies of metastatic organ sites associated with 76 primary malignancies. Our findings will provide useful information for future research and clinical practice.
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.