Evidence map›Paper›PMID 31579127›Full record

ReviewTherapeutic advances in medical oncology2019

Antitumor pharmacotherapy of colorectal cancer in kidney transplant recipients.

Yuanyuan Fu, Chengheng Liao, Kai Cui, Xiao Liu, Wentong Fang

Open access · goldAbstract readReview
In one paragraph

Review in Therapeutic advances in medical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 82% 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, 3 citations in OpenAlex.

  1. 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

5 authors at 5 institutions in 2 countries.

Yuanyuan FuDepartment of Pharmacy, First Affiliated Hospital of Nanjing Medical University, China.
Chengheng LiaoLineberger Comprehensive Cancer Center, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Kai CuiDepartment of Pharmacy, Liaocheng Infectious Disease Hospital, Liaocheng, Shandong, China.
Xiao LiuDepartment of Pharmacy, Qinghai provincial Peoples Hospital, Xining, China.
Wentong FangDepartment of Pharmacy, First Affiliated Hospital of Nanjing Medical University, No 300 Guangzhou Road, Nanjing, Jiangsu Province, 210029, China.
Jiangsu Province Hospital · CNLiaocheng People's Hospital · CNNanjing Medical University · CNQinghai Provincial Peoples Hospital · CNUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal transplantation has become the sole most preferred therapy modality for end-stage renal disease patients. The growing tendency for renal transplants, and prolonged survival of renal recipients, have resulted in a certain number of post-transplant colorectal cancer patients. Antitumor pharmacotherapy in these patients is a dilemma. Substantial impediments such as carcinogenesis of immunosuppressive drugs (ISDs), drug interaction between ISDs and anticancer drugs, and toxicity of anticancer drugs exist. However, experience of antitumor pharmacotherapy in these patients is limited, and the potential risks and benefits have not been reviewed systematically. This review evaluates the potential impediments, summarizes current experience, and provides potential antitumor strategies, including adjuvant, palliative, and subsequent regimens. Moreover, special pharmaceutical care, such as ISDs therapeutic drug monitoring, metabolic enzymes genotype, and drug interaction, are also highlighted.

Indexed as

anticancer drugcolorectal cancerimmunosuppressive agentrenal transplantation

Identifiers

PMID31579127
PMCPMC6759705
OpenAlexW2976451324

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.