Evidence map›Paper›PMID 37229373›Full record

ArticleYonago acta medica2023

Construction of an Automatic Quantification Method for Bone Marrow Cellularity Using Image Analysis Software.

Yuki Hatayama, Yukari Endo, Nao Kojima, Noriko Yamashita, Takuya Iwamoto, Hiroya Namba, Hitomi Ichikawa, Koji Kawamura, Tetsuya Fukuda, Toru Motokura

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Yonago acta medica, 2023. 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
0.7field-weighted citation impact, top 30% of its field
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, 2 citations in OpenAlex.

  1. 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

10 authors at 2 institutions in 1 country.

Yuki HatayamaDivision of Clinical Laboratory, Tottori University Hospital, Yonago 683-8504, Japan.
Yukari EndoDepartment of Pathology, Tottori University Hospital, Yonago 683-8504, Japan.
Nao KojimaDivision of Clinical Laboratory, Tottori University Hospital, Yonago 683-8504, Japan.
Noriko YamashitaDivision of Clinical Laboratory, Tottori University Hospital, Yonago 683-8504, Japan.
Takuya IwamotoDivision of Clinical Laboratory, Tottori University Hospital, Yonago 683-8504, Japan.
Hiroya NambaDivision of Clinical Laboratory, Tottori University Hospital, Yonago 683-8504, Japan.
Hitomi IchikawaDivision of Clinical Laboratory, Tottori University Hospital, Yonago 683-8504, Japan.
Koji KawamuraDivision of Clinical Laboratory Medicine, Department of Multidisciplinary Internal Medicine, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
Tetsuya FukudaDivision of Clinical Laboratory, Tottori University Hospital, Yonago 683-8504, Japan.
Toru MotokuraDivision of Clinical Laboratory Medicine, Department of Multidisciplinary Internal Medicine, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
Tottori University Hospital · JPTottori University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although rapid, the evaluation of bone marrow (BM) cellularity is semi-quantitative and largely dependent upon visual estimates. We aimed to construct an automatic quantification method using image analysis software. We used hematoxylin and eosin (HE)-stained specimens of BM biopsies and clots from patients who underwent BM examination at Tottori University Hospital from 2020 to 2022. We compared image analysis (Methods A, B, and C) with visual estimates in pathology reports of 91 HE specimens in 54 cases (29 males, 25 females), including 38 biopsy and 53 clot specimens. Cellularity was visually scored as hypocellular (

Indexed as

automated image analysisbone marrow cellularityvisual estimates

Identifiers

PMID37229373
PMCPMC10203644
OpenAlexW4378349358

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.