Evidence map›Paper›PMID 39039935›Full record

ArticleClinical and translational medicine2024

Rapid screening of acute promyelocytic leukaemia in daily batch specimens: A novel artificial intelligence-enabled approach to bone marrow morphology.

Yujun Xiao, Zheng Huang, Jun Wu, Yan Zhang, Yuanyuan Yang, Chun Xu, Fangyu Guo, Xiong Ni, Xinhua Hu, Jianmin Yang and 3 more

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical and translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. PredictingiScience · 2025
    Article
  4. 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

13 authors.

Yujun XiaoDepartment of Hematology, Changhai Hospital, Naval Military Medical University, Shanghai, China.
Zheng HuangDepartment of Materials Science and Key Laboratory of Micro- and Nano-Photonic Structures (Ministry of Education), Fudan University, Shanghai, China.
Jun WuNursing Department, Changhai Hospital, Naval Military Medical University, Shanghai, China.
Yan ZhangDepartment of Hematology, Changhai Hospital, Naval Military Medical University, Shanghai, China.
Yuanyuan YangDepartment of Hematology, Changhai Hospital, Naval Military Medical University, Shanghai, China.
Chun XuCellsee (Wuxi) Intelligent Technology Co., Ltd, Wuxi, China.
Fangyu GuoDepartment of Hematology, Changhai Hospital, Naval Military Medical University, Shanghai, China.
Xiong NiDepartment of Hematology, Changhai Hospital, Naval Military Medical University, Shanghai, China.
Xinhua HuDepartment of Materials Science and Key Laboratory of Micro- and Nano-Photonic Structures (Ministry of Education), Fudan University, Shanghai, China.
Jianmin YangDepartment of Hematology, Changhai Hospital, Naval Military Medical University, Shanghai, China.ORCID 0000-0002-6572-1541
Yang SongDepartment of Hematology, Changzheng Hospital, Naval Military Medical University, Shanghai, China.
Hui ChengDepartment of Hematology, Changhai Hospital, Naval Military Medical University, Shanghai, China.ORCID 0000-0001-9154-9282
Gusheng TangDepartment of Hematology, Changhai Hospital, Naval Military Medical University, Shanghai, China.

Funding

Shanghai 2022 'Science and Technology Innovation Action Plan' Medical Innovation Research Special Project 22Y11911300Shanghai Changhai Hospital '234 Discipline Climbing Plan' 2020YXK018Shanghai Changhai Hospital 'Deep Blue 123 Plan' 2020SLZ022
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceBone MarrowLeukemia, Promyelocytic, AcuteHumans

Identifiers

PMID39039935
PMCPMC11263731

What OpenQuestion holds

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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.