Evidence map›Paper›PMID 27170341›Full record

SynthesisInternational urology and nephrology2016

Diabetes and the risk of biochemical recurrence in patients with treated localized prostate cancer: a meta-analysis.

Qingling Hua, Yanzhe Zhu, Hu Liu, Xiaobing Ye

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in International urology and nephrology, 2016. 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
0.3field-weighted citation impact, top 32% 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, 8 citations in OpenAlex.

  1. Article
  2. Article
  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

4 authors at 4 institutions in 1 country.

Qingling HuaDepartment of Oncology, Yijishan Hospital of Wannan Medical College, No. 2 West Zheshan Road, Wuhu, 241001, China.
Yanzhe ZhuDepartment of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Hu LiuDepartment of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Xiaobing YeDepartment of Oncology, Yijishan Hospital of Wannan Medical College, No. 2 West Zheshan Road, Wuhu, 241001, China. yexiaobing2015@163.com.
Anhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CNFirst Affiliated Hospital of Wannan Medical College · CNWannan Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiochemical recurrence (BCR), or an elevation in prostate-specific antigen in men after treatment for localized prostate cancer, is an early indication of clinical progression, distant metastases, and mortality. Correlations have also recently been established between diabetes and the incidence and mortality of prostate cancer. However, it remains unknown whether diabetes may predict BCR.

methodsWe performed a meta-analysis of published articles to investigate the prognostic value of diabetes for BCR in prostate cancer. Eight studies and 11,923 patients were included in our meta-analysis. The relative risk (RR) and its 95 % confidence interval (CI) were calculated.

resultsWe found no apparent association between diabetes and BCR (adjusted RR 1.04; 95 % CI 0.87-1.22).

conclusionsThe evidence of this meta-analysis indicates that diabetes is not a predictor of risk of BCR in patients with prostate cancer.

Indexed as

Diabetes MellitusHumansMaleNeoplasm MetastasisNeoplasm Recurrence, LocalProstate-Specific AntigenProstatic NeoplasmsProstate-Specific AntigenBiochemical recurrenceDiabetesMeta-analysisProstate cancer

Identifiers

PMID27170341
OpenAlexW2386281269

What OpenQuestion holds

Textmetadata
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.