Evidence map›Paper›PMID 26198673›Full record

ArticleScientific reports2015

Association of matrix metalloproteinase family gene polymorphisms with lung cancer risk: logistic regression and generalized odds of published data.

Hongxia Li, Xiaoyan Liang, Xuebing Qin, Shaohua Cai, Senyang Yu

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Analysis ofInternational journal of molecular sciences · 2023
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Polymorphisms inHereditary cancer in clinical practice · 2020
    Article
  11. Article
  12. Article
  13. Matrix metalloproteinase 9 gene polymorphisms are associated with a multiple family history of gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2017
    Article
  14. Article
  15. Article
  16. 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

5 authors.

Hongxia LiDepartment of Respiratory Medicine, South Building, Chinese PLA General Hospital, Beijing 100853.
Xiaoyan LiangDepartment of Respiratory Medicine, Special Inpatient Unit, Chinese PLA General Hospital, Beijing 100853.
Xuebing QinDepartment of Respiratory Medicine, South Building, Chinese PLA General Hospital, Beijing 100853.
Shaohua CaiDepartment of Respiratory Medicine, Special Inpatient Unit, Chinese PLA General Hospital, Beijing 100853.
Senyang YuDepartment of Respiratory Medicine, South Building, Chinese PLA General Hospital, Beijing 100853.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many studies have reported the association between the matrix metalloproteinase (MMP) polymorphisms and lung cancer susceptibility, but the results were inconclusive. We conducted a meta-analysis, using a comprehensive strategy based on the logistic regression and a model-free approach, to derive a more precise estimation of the relationship between MMP1, MMP2, MMP9 and MMP13 polymorphisms with lung cancer risk. A total of 22 case-control studies including 8202 cases and 7578 controls were included in this meta-analysis. For MMP1-1607 1G/2G, increased lung cancer risk was found among Asians in additive model(OR = 1.34, 95%CI:1.18-1.53) and with model-free approach(ORG = 1.41, 95%CI:1.21-1.65). For MMP2-1306 C/T and -735 C/T, based on the model-free approach, a significantly reduced risk was found in Asians(MMP2-1306 C/T:ORG = 0.49,95%CI:0.42-0.57; MMP2-735 C/T: ORG = 0.71, 95%CI:0.61-0.84). For MMP9-1562 C/T, a significantly increased risk was found among Asians(OR = 2.73, 95%CI:1.74-4.27) with model-free approach. For MMP13-77A/G, there was no association between this polymorphism and lung cancer risk in the recessive model(OR = 1.02, 95%CI:0.83-1.26) and with the model-free approach(ORG = 0.95, 95%CI:0.76-1.17). Therefore, this meta-analysis suggests that the MMP1-1607 1G/2G, MMP2-1306 C/T, MMP2-735 C/T, MMP9 -1562 C/T polymorphisms were risk factors for lung cancer among Asians, while MMP13 -77A/G polymorphism was not associated with lung cancer risk.

Indexed as

Polymorphism, Single NucleotideHumansLung NeoplasmsMetalloproteasesRegression AnalysisMetalloproteases

Identifiers

PMID26198673
PMCPMC4510488

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.