Evidence map›Paper›PMID 31283544›Full record

ArticleAnti-cancer drugs2019

Pegylated liposomal doxorubicin for myeloid neoplasms.

Cheng Zhang, Han Yao, Pei-Yang Kong, Yao Liu, Lei Gao, Li Gao, Ying-Ying Ma, Jun Liu, Xu Tan, Xi Zhang

Open access · hybridAbstract read
In one paragraph

Article in Anti-cancer drugs, 2019. 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
0.2field-weighted citation impact, top 47% 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, 5 citations in OpenAlex.

  1. Trial
  2. Review
  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

10 authors at 2 institutions in 1 country.

Cheng ZhangDepartment of Hematology, Xinqiao Hospital and State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, People's Republic of China.
Han Yao
Pei-Yang Kong
Yao Liu
Lei Gao
Li Gao
Ying-Ying Ma
Jun Liu
Xu Tan
Xi Zhang
Xinqiao Hospital · CNArmy Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pegylated liposomal doxorubicin (Peg-Dox) treatment resulted in a good outcome for patients with lymphoma and multiple myeloma, with reduced cardiotoxicity and an improved pharmacokinetic profile when compared to those of conventional doxorubicin. However, the use of Peg-Dox in myeloid neoplasms remains poorly studied. In this study, we first tested the role of Peg-Dox in the killing of myeloid cell lines and of primary myeloid leukemia cells. Then, a Peg-Dox-based protocol was used to treat patients with myeloid neoplasms. The results showed that the Peg-Dox and Peg-Dox-based protocols had a similar killing ability in myeloid cell lines and in primary myeloid leukemia cells compared to that of conventional doxorubicin. The complete remission rate was 87.5% and 100% for patients with refractory/relapsed acute myeloid leukemia and myelodysplastic syndrome with excess blasts, respectively, after treatment with Peg-Dox. All patients developed grade 3 or 4 hematological toxicity and recovered approximately 2 weeks after completing chemotherapy. No deaths or other severe complications were reported. Our results showed that Peg-Dox can be used in the treatment of myeloid neoplasms with high rates of complete remission and with mild complications.

Indexed as

AdolescentAdultAntineoplastic Combined Chemotherapy ProtocolsCell Line, TumorChildDoxorubicinFemaleHL-60 CellsHumansK562 CellsMaleMiddle AgedMultiple MyelomaPolyethylene GlycolsYoung AdultDoxorubicinliposomal doxorubicinPolyethylene Glycols

Identifiers

PMID31283544
PMCPMC6749968
OpenAlexW2959007108

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.