Evidence map›Paper›PMID 30899280›Full record

ReviewArchives of medical science : AMS2019

Association between circulating leptin concentration and

Ji-Qing Hao, Qian-Kun Zhang, Yi-Xin Zhou, Li-Hao Chen, Peng-Fei Wu

Open access · goldAbstract readReview
In one paragraph

Review in Archives of medical science : AMS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Investigation ofBioscience reports · 2019
    Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Linkage Between Obesity Leptin and Breast Cancer.Breast cancer : basic and clinical research · 2020
    Review
  11. Article
  12. Obesity, Type-2 Diabetes and Cancer: Mechanistic Insights.Critical reviews in oncogenesis · 2019
    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 2 institutions in 1 country.

Ji-Qing HaoDepartment of Oncology, the First Affiliated Hospital of Anhui Medical University, Anhui, China.
Qian-Kun ZhangDepartment of Oncology, the First Affiliated Hospital of Anhui Medical University, Anhui, China.
Yi-Xin ZhouDepartment of Oncology, the First Affiliated Hospital of Anhui Medical University, Anhui, China.
Li-Hao ChenDepartment of Oncology, the First Affiliated Hospital of Anhui Medical University, Anhui, China.
Peng-Fei WuDepartment of Oncology, the First Affiliated Hospital of Anhui Medical University, Anhui, China.
First Affiliated Hospital of Anhui Medical University · CNAnhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe aim of this meta-analysis was to summarize the evidence on the serum/plasma leptin concentrations in breast cancer (BC) patients, as well as the associations between leptin MATERIAL AND

methodsPotentially relevant studies about serum/plasma leptin levels and leptin

resultsA total of 1141 articles were retrieved after database searches, and 27 studies with 9516 subjects (4542 BC patients/4974 controls) were finally included. The results indicated that BC patients had significantly higher leptin levels compared with healthy controls (SMD = 1.65, 95% CI: 1.21-2.09,

conclusionsOur results revealed a significantly higher leptin level in BC patients than in healthy controls, but no association between leptin

Indexed as

breast cancergene polymorphismleptinmeta-analysis

Identifiers

PMID30899280
PMCPMC6425221
OpenAlexW2886969356

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.