Evidence map›Paper›PMID 40413690›Full record

ArticleJapanese journal of radiology2025

Postmortem computed tomography assessment of intracardiac and intravascular blood clots and gravitational sedimentation: clinical and laboratory associations in 114 in-hospital deaths.

Masanori Ishida, Akira Katayama, Go Shirota, Naomasa Okimoto, Hiroyuki Abe, Keisuke Nyunoya, Kotaro Fujimoto, Mariko Kurokawa, Masumi Takahashi-Mizuki, Shohei Inui and 5 more

Abstract read
In one paragraph

Article in Japanese journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Masanori IshidaDepartment of Radiology, School of Medicine, Tokyo Medical University, 6-7-1 Nishi-shinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan. mytsy1007@gmail.com.ORCID http://orcid.org/0000-0001-6804-4761
Akira KatayamaDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Go ShirotaDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Naomasa OkimotoDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Hiroyuki AbeDepartment of Pathology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Keisuke NyunoyaDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Kotaro FujimotoDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Mariko KurokawaDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Masumi Takahashi-MizukiDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Shohei InuiDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Shunichiro OriharaDepartment of Health Data Science, School of Medicine, Tokyo Medical University, 6-1-1 Shinjuku, Shinjuku-ku, Tokyo, 160-8402, Japan.
Kazuhiro SaitoDepartment of Radiology, School of Medicine, Tokyo Medical University, 6-7-1 Nishi-shinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.
Tetsuo UshikuDepartment of Pathology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Osamu AbeDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Wataru GonoiDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan. gonoiw@gmail.com.

Funding

Japan Society for the Promotion of Science 20K07989Japan Society for the Promotion of Science 23K07202
6 · The paper itself

Abstract

purposePostmortem computed tomography (PMCT) typically reveals blood clots and sedimentation in cardiac and vascular structures. We examined the associations between these postmortem findings and antemortem clinical and laboratory parameters in in-hospital death. MATERIAL AND

methodsThis prospective study included 114 non-traumatic in-hospital deaths where PMCT was performed within 24 h postmortem. Two radiologists evaluated high-density areas in the right and left atria, pulmonary artery, and thoracic aorta, and classified them as blood clots or gravitational sedimentation. The clinical and laboratory data from the week before death were analyzed using univariate and multivariate logistic regression.

resultsInterobserver agreement was excellent for all anatomical sites (κ = 0.87-0.91). Blood clot or blood sedimentation were observed in 34-53% of cases across different locations. Per univariate analysis, non-pneumonic infections, positive blood cultures, and elevated coagulation parameters (prothrombin time-international normalized ratio, activated partial thromboplastin time) were associated with gravitational sedimentation. In contrast, solid malignancies and higher values of hematologic parameters (platelet count, red blood cells, hemoglobin, neutrophil percentage) were associated with blood clot formation (all p < .05). Per multivariate analysis, non-pneumonic infections maintained strong associations with gravitational sedimentation across all sites (p < .05), while higher platelet counts independently predicted blood clot formation in the right atrium, left atrium, and thoracic aorta (p < .05).

conclusionPostmortem gravitational sedimentation was associated with non-pneumonic infections, whereas clot formation correlated with higher platelet counts. These findings provide objective criteria for interpreting PMCT findings and may aid in evaluating patients' antemortem clinical status, particularly when clinical information is limited.

Indexed as

Blood SedimentationHospital MortalityThrombosisTomography, X-Ray ComputedAdultAgedAged, 80 and overAutopsyFemaleHeart AtriaHumansMaleMiddle AgedPostmortem ImagingProspective StudiesCoagulationComputed tomographyForensic radiologyHypostasisPostmortem CTSedimentation

Identifiers

PMID40413690
PMCPMC12397116

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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.