Evidence map›Paper›PMID 27515273›Full record

ArticleJournal of veterinary science2017

Effects of neural stem cells and 5-fluorocytosine in canine metastatic lung tumor.

Yawon Hwang, Dongwook Kim, Dongwoo Chang, Byeongwoo Ahn, Yun-Bae Kim, Gonhyung Kim

Open access · goldAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of veterinary science, 2017. 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
0.5field-weighted citation impact, top 35% 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

6 authors at 2 institutions in 2 countries.

Yawon HwangVeterinary Medical Center, College of Veterinary Medicine, Chungbuk National University, Cheongju 28644, Korea.
Dongwook KimVeterinary Medical Center, College of Veterinary Medicine, Chungbuk National University, Cheongju 28644, Korea.
Dongwoo ChangVeterinary Medical Center, College of Veterinary Medicine, Chungbuk National University, Cheongju 28644, Korea.
Byeongwoo AhnVeterinary Medical Center, College of Veterinary Medicine, Chungbuk National University, Cheongju 28644, Korea.
Yun-Bae KimVeterinary Medical Center, College of Veterinary Medicine, Chungbuk National University, Cheongju 28644, Korea.
Gonhyung KimVeterinary Medical Center, College of Veterinary Medicine, Chungbuk National University, Cheongju 28644, Korea.
Chungbuk National University · KRUniversity of British Columbia Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This is the first case report to describe the tumor regressive effect of systemic human neural stem cell (NSC)/5-fluorocytosine (5-FC) therapy on canine metastatic lung tumor. The therapeutic effects appeared approximately two weeks after 5-FC administration. Thoracic radiographs revealed a reduced number of lung nodules and decreased nodule size. However, there were no significant antitumor effects on primary lesions in abdominal organs. In conclusion, human NSC/5-FC prodrug therapy can secure patient quality of life with the same or more therapeutic effects and fewer side effects than other recommended chemotherapies.

Indexed as

AnimalsAntineoplastic AgentsCombined Modality TherapyDog DiseasesDogsFlucytosineGenetic TherapyHemangiosarcomaLung NeoplasmsMaleNeural Stem CellsProdrugsRadiography, ThoracicSplenectomySplenic NeoplasmsStem Cell TransplantationAntineoplastic AgentsFlucytosineProdrugsflucytosinegene therapymetastatic lung tumorneural stem cells

Identifiers

PMID27515273
PMCPMC5489474
OpenAlexW2511988723

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.