Evidence map›Paper›PMID 38347921›Full record

ArticleTherapeutics and clinical risk management2024

Treatment Patterns and

Benfa Gong, Li-Jen Cheng, Christopher H Young, Prabhuram Krishnan, Ying Wang, Hui Wei, Chunlin Zhou, Shuning Wei, Yan Li, Qiuyun Fang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Therapeutics and clinical risk management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 97% 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

3 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

14 authors at 4 institutions in 3 countries.

Benfa GongInstitute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.ORCID 0000-0002-5557-7291
Li-Jen ChengMedical Affairs, Astellas Pharma Singapore Pte. Ltd, Singapore.
Christopher H YoungAdvanced Informatics & Analytics, Astellas Pharma US Inc., Northbrook, IL, USA.
Prabhuram KrishnanMedical Affairs, Astellas Pharma Singapore Pte. Ltd, Singapore.
Ying WangInstitute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.
Hui WeiInstitute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.
Chunlin ZhouInstitute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.
Shuning WeiInstitute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.
Yan LiInstitute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.
Qiuyun FangInstitute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.
Jia ZhongAnalysis Group, Inc., Beijing, People's Republic of China.
Eric Q WuAnalysis Group, Inc., Boston, MA, USA.
Yingchang MiInstitute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.
Jianxiang WangInstitute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.ORCID 0000-0001-9437-9151
Chinese Academy of Medical Sciences & Peking Union Medical College · CNAstellas Pharma (Japan) · JPAnalysis Group (United States) · USAstellas Pharma (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: For acute myeloid leukemia (AML), prognosis is particularly poor in patients harboring FMS-like tyrosine kinase 3 ( Methods: In this retrospective, observational study, we investigated the key epidemiological characteristics, treatment patterns and responses among adult patients with newly diagnosed (ND) AML in China, who initiated treatment from January 1, 2015, to December 31, 2019, or progressed to relapsed/refractory (R/R) AML by December 31, 2020. Results: Of the 853 ND AML patients included, 63.4% were screened for Conclusion: Study findings showed that there was a lack of routine testing for

Indexed as

acute myeloid leukemiaepidemiologyreal-worldretrospective study

Identifiers

PMID38347921
PMCPMC10861151
OpenAlexW4391647849

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.