Evidence map›Paper›PMID 30214554›Full record

ArticleOncology letters2018

Feng-Chun Zhang, Hai-Yan Xu, Jian-Jun Liu, Yuan-Fan Xu, Bin Chen, Yi-Jin Yang, Ning-Ning Yan, Shao-Li Song, Yu-Mei Lin, Ying-Chun Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Observational
  7. 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.

Feng-Chun ZhangOncology Department, Suzhou Kowloon Hospital, Shanghai Jiao Tong University, School of Medicine, Suzhou, Jiangsu 215021, P.R. China.
Hai-Yan XuOncology Department, Suzhou Kowloon Hospital, Shanghai Jiao Tong University, School of Medicine, Suzhou, Jiangsu 215021, P.R. China.
Jian-Jun LiuNuclear Medicine Department, Renji Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai 200127, P.R. China.
Yuan-Fan XuNuclear Medicine Department, Suzhou Kowloon Hospital, Shanghai Jiao Tong University, School of Medicine, Suzhou, Jiangsu 215021, P.R. China.
Bin ChenOncology Department, Suzhou Kowloon Hospital, Shanghai Jiao Tong University, School of Medicine, Suzhou, Jiangsu 215021, P.R. China.
Yi-Jin YangOncology Department, Suzhou Kowloon Hospital, Shanghai Jiao Tong University, School of Medicine, Suzhou, Jiangsu 215021, P.R. China.
Ning-Ning YanDepartment of Oncology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai 200025, P.R. China.
Shao-Li SongNuclear Medicine Department, Renji Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai 200127, P.R. China.
Yu-Mei LinDepartment of Oncology, China-Japan Union Hospital, Jilin University, Changchun, Jilin 130021, P.R. China.
Ying-Chun XuDepartment of Oncology, Renji Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai 200127, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to explore the value of fludeoxyglucose F 18 positron emission tomography-computed tomography (PET/CT) for the early prediction of chemotherapy remission rates and survival in patients with recurrent and metastatic breast cancer. A total of 24 patients diagnosed with recurrent or metastatic breast cancer between 2009 and 2014 were enrolled. All patients underwent a PET/CT examination prior to (PET/CT1) and following (PET/CT2) chemotherapy. Differences of PET/CT1 maximal standardized uptake values (SUV

Indexed as

breast cancerchemotherapyearly predictionmaximum standardized uptake valuepositron emission tomography-computed tomography

Identifiers

PMID30214554
PMCPMC6126168

What OpenQuestion holds

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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.