Evidence map›Paper›PMID 28105095›Full record

ArticleExperimental and therapeutic medicine2016

Preliminary results of a non-invasive method to measure tumor size and distribution

Shu-Ling Fu, Chien-An Chen, Ling-Chien Hung, Moon-Sing Lee, Wen-Yen Chiou, Hon-Yi Lin, Yu-Chieh Su, Ching-Chih Lee, Shih-Kai Hung

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2016. 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
0.6field-weighted citation impact, top 19% 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, 2 citations in OpenAlex.

  1. 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

9 authors at 3 institutions in 1 country.

Shu-Ling FuInstitute of Traditional Medicine, National Yang-Ming University, Taipei 11221, Taiwan, R.O.C.
Chien-An ChenDepartment of Radiation Oncology, Zhongxing Branch, Taipei City Hospital, Taipei 10341, Taiwan, R.O.C.
Ling-Chien HungInstitute of Traditional Medicine, National Yang-Ming University, Taipei 11221, Taiwan, R.O.C.
Moon-Sing LeeDepartment of Radiation Oncology, Buddhist Dalin Tzu Chi Hospital, Chiayi 62247, Taiwan, R.O.C.; School of Medicine, Tzu Chi University, Hualian 97061, Taiwan, R.O.C.
Wen-Yen ChiouDepartment of Radiation Oncology, Buddhist Dalin Tzu Chi Hospital, Chiayi 62247, Taiwan, R.O.C.; School of Medicine, Tzu Chi University, Hualian 97061, Taiwan, R.O.C.
Hon-Yi LinDepartment of Radiation Oncology, Buddhist Dalin Tzu Chi Hospital, Chiayi 62247, Taiwan, R.O.C.; School of Medicine, Tzu Chi University, Hualian 97061, Taiwan, R.O.C.
Yu-Chieh SuSchool of Medicine, Tzu Chi University, Hualian 97061, Taiwan, R.O.C.; Department of Hematological Oncology, Buddhist Dalin Tzu Chi Hospital, Chiayi 62247, Taiwan, R.O.C.
Ching-Chih LeeSchool of Medicine, Tzu Chi University, Hualian 97061, Taiwan, R.O.C.; Department of Otolaryngology, Buddhist Dalin Tzu Chi Hospital, Chiayi 62247, Taiwan, R.O.C.
Shih-Kai HungDepartment of Radiation Oncology, Buddhist Dalin Tzu Chi Hospital, Chiayi 62247, Taiwan, R.O.C.; School of Medicine, Tzu Chi University, Hualian 97061, Taiwan, R.O.C.
Tzu Chi University · TWNational Yang Ming Chiao Tung University · TWTaipei City Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular imaging of reporter gene expression in cancer cells can provide rapid, sensitive and non-invasive monitoring of tumor behavior. The aim of the present study was to establish a non-invasive method to measure tumor size and distribution

Indexed as

andrographolidein vivo imaging systemmetastasisRas

Identifiers

PMID28105095
PMCPMC5228536
OpenAlexW2533922962

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.