Evidence map›Paper›PMID 36226246›Full record

ArticleComputational and mathematical methods in medicine2022

Analysis of Data on Fludarabine, Cyclophosphamide, and Rituximab Chemoimmunotherapy for Chronic Lymphocytic Leukemia Shows High Patient Heterogeneity and the Need for More Consideration of Individualized Treatment.

Xiaoli Xu, Ying Zhao, Haiyan Ye, Yonglei Qi, Wenning Xu, Yiwen Ling, Shaojiang Yang

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% 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, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Xiaoli XuDepartment of Hematology, First People's Hospital of Foshan, Foshan, China.ORCID https://orcid.org/0000-0003-2234-0316
Ying ZhaoDepartment of Hematology, First People's Hospital of Foshan, Foshan, China.ORCID https://orcid.org/0000-0003-2586-7842
Haiyan YeDepartment of Hematology, First People's Hospital of Foshan, Foshan, China.
Yonglei QiDepartment of Hematology, First People's Hospital of Foshan, Foshan, China.
Wenning XuDepartment of Hematology, First People's Hospital of Foshan, Foshan, China.
Yiwen LingDepartment of Hematology, First People's Hospital of Foshan, Foshan, China.
Shaojiang YangDepartment of Hematology, First People's Hospital of Foshan, Foshan, China.
First People's Hospital of Foshan · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods: Data from single-cell RNA sequencing (RNA-seq) of CLL patients were obtained from the Gene Expression Omnibus database. The R package was utilized to analyze the data, and the relation of results was predicted via the GeneMANIA website. The information of 7 samples covered three stages: observation stage, pretreatment by CIT with rituximab, fludarabine, and cyclophosphamide (pre-CIT), and post-CIT. The differentially expressed genes (DEGs) were identified, and functional enrichment analyses were performed. B cell subpopulations and pseudotime trajectories analysis was conducted. Results: A total of 70,659 DEGs were identified. Each patient's DEGs presented their own characteristics, with low similarity. Therefore, it is difficult to identify potential hub genes. Similarly, pathway enrichment analysis showed significant tumor heterogeneity among CLL patients. Analysis of relapsed post-CIT compared to the observation stage suggested that the Conclusions: Tumor heterogeneity may be a more common manifestation of CLL. Individualized treatment should be considered for CLL.

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellAntineoplastic Combined Chemotherapy ProtocolsCyclophosphamideHumansRituximabVidarabineCyclophosphamidefludarabineRituximabVidarabine

Identifiers

PMID36226246
PMCPMC9550475
OpenAlexW4300772942

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.