Evidence map›Paper›PMID 27703190›Full record

Trial reportScientific reports2016

Association of interleukin 16 gene polymorphisms and plasma IL16 level with osteosarcoma risk.

Yu-Jin Tang, Jun-Li Wang, Ke-Gong Xie, Chang-Gong Lan

Abstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Yu-Jin TangDepartment of Orthopedic Surgery, the Affiliated Hospital of Youjiang Medical University for Nationalities, Baise 533000, Guangxi, China.
Jun-Li WangDepartment of Orthopedic Surgery, the Affiliated Hospital of Youjiang Medical University for Nationalities, Baise 533000, Guangxi, China.
Ke-Gong XieDepartment of Orthopedic Surgery, the Affiliated Hospital of Youjiang Medical University for Nationalities, Baise 533000, Guangxi, China.
Chang-Gong LanDepartment of Orthopedic Surgery, the Affiliated Hospital of Youjiang Medical University for Nationalities, Baise 533000, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interleukin (IL) 16 plays a key role in inflammatory diseases as well as in tumorigenesis of osteosarcoma (OS). The aim of this study was to investigate the association of IL16 polymorphisms and plasma IL16 level with OS risk in a Chinese population. We genotyped IL16 rs4778889, rs11556218, and rs4072111 in 358 patients with OS and 402 controls using a polymerase chain reaction-restriction fragment length polymorphism assay. Plasma IL16 level was measured by enzyme-linked immunosorbent assay. Rs11556218 was associated with an increased risk of OS in heterozygote comparison (adjusted OR = 1.65, 95% CI, 1.23-2.21, P < 0.001), dominant model (adjusted OR = 1.66, 95% CI, 1.24-2.21, P < 0.001), and allele comparison (adjusted OR = 1.44, 95% CI, 1.14-1.81, P = 0.002). Moreover, rs11556218 TG/GG genotypes were associated with higher levels of IL16 as compared to TT genotype (P = 0.03). However, no significant association of rs4778889 and rs4072111 and OS was found. These findings suggest that rs11556218 TG/GG genotypes may be associated with increased susceptibility to OS, probably by increasing the production of IL16 level.

Indexed as

AllelesBone NeoplasmsGenetic Predisposition to DiseaseInterleukin-16Neoplasm ProteinsOsteosarcomaPolymorphism, GeneticAdolescentAdultChildFemaleHumansMaleMiddle AgedRisk FactorsInterleukin-16Neoplasm Proteins

Identifiers

PMID27703190
PMCPMC5050415

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Registered trials

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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.