Evidence map›Paper›PMID 33835260›Full record

ArticleJournal of cancer research and clinical oncology2022

Impact of socio-demographic co-variates on prognosis, tyrosine kinase-inhibitor use and outcomes in persons with newly-diagnosed chronic myeloid leukaemia.

Lu Yu, Huifang Wang, Robert Peter Gale, Yazhen Qin, Yueyun Lai, Hongxia Shi, Xuelin Dou, Xiaojun Huang, Qian Jiang

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Lu Yu *National Clinical Research Center for Hematologic Disease, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Beijing, 100044, China.
Huifang Wang *National Clinical Research Center for Hematologic Disease, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Beijing, 100044, China.
Robert Peter GaleCentre for Haematology Research, Department of Immunology and Inflammation, Imperial College London, London, UK.
Yazhen QinNational Clinical Research Center for Hematologic Disease, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Beijing, 100044, China.
Yueyun LaiNational Clinical Research Center for Hematologic Disease, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Beijing, 100044, China.
Hongxia ShiNational Clinical Research Center for Hematologic Disease, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Beijing, 100044, China.
Xuelin DouNational Clinical Research Center for Hematologic Disease, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Beijing, 100044, China.
Xiaojun HuangNational Clinical Research Center for Hematologic Disease, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Beijing, 100044, China.
Qian JiangNational Clinical Research Center for Hematologic Disease, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Beijing, 100044, China. jiangqian@medmail.com.cn.ORCID http://orcid.org/0000-0001-7131-0522
Peking University · CNImperial College London · GB

Funding

National Natural Science Foundation of China 81770161National Natural Science Foundation of China 81970140
6 · The paper itself

Abstract

purposeDefine the impact of socio-demographic co-variates on outcomes of persons with newly-diagnosed chronic phase chronic myeloid leukaemia (CML).

methodsData of 961 consecutive subjects with newly-diagnosed CML were integrated for these outcomes in multi-variable Cox regression analyses after adjusting for confounders and interactions.

resultsElder age was associated with less use of a 2nd generation TKI as initial therapy. Household registration, comorbidity(ies) and education level were associated with use of a generic rather than branded TKI as initial therapy. Subjects with lower education level were more likely to be diagnosed with CML because of leukaemia-related symptoms. Rural registration and lower education level were also associated with a greater likelihood of switching TKI-therapy. Lower education level was associated with lower likelihood of achieving MMR [HR = 0.8 (0.7, 0.9), p = 0.002], MR

conclusionSocio-demographic co-variates have a strong impact on therapy choice and responses in persons with newly-diagnosed CML, including circumstances of diagnosis, risk category and prognosis, use of initial TKI, switching TKIs, response to TKI-therapy, and outcomes.

Indexed as

Leukemia, Myelogenous, Chronic, BCR-ABL PositiveAdolescentAdultAgedDemographyDisease ProgressionFemaleHumansMaleMiddle AgedPrognosisProtein Kinase InhibitorsProtein-Tyrosine KinasesSocioeconomic FactorsSurveys and QuestionnairesTreatment OutcomeProtein Kinase InhibitorsProtein-Tyrosine KinasesChronicLeukaemiaMyeloidSocio-demographic co-variatesTyrosine kinase inhibitor

Identifiers

PMID33835260
PMCPMC11800769
OpenAlexW3151049939

What OpenQuestion holds

Textmetadata
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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.