Evidence map›Paper›PMID 37199052›Full record

SynthesisCancer medicine2023

Potential noninvasive biomarkers for the malignant transformation of oral leukoplakia: A systematic review and meta-analysis.

Yan Huang, Qiufang Zhang, Zhenzhen Guo, Guanhong Deng, Ruibin Chen, Yanfen Zheng

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 3 pooled it
3.1field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 3 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. 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

6 authors at 2 institutions in 1 country.

Yan HuangDepartment of Oral and Maxillofacial Surgery, Stomatological Hospital of Xiamen Medical College, Xiamen, China.
Qiufang ZhangXiamen Key Laboratory of Stomotalogical Disease Diagnosis and Treatment, Stomatological Hospital of Xiamen Medical College, Xiamen, China.
Zhenzhen GuoDepartment of Oral and Maxillofacial Surgery, Stomatological Hospital of Xiamen Medical College, Xiamen, China.
Guanhong DengDepartment of Oral Mucosal Diseases, Stomatological Hospital of Xiamen Medical College, Xiamen, China.
Ruibin ChenDepartment of Oral Mucosal Diseases, Stomatological Hospital of Xiamen Medical College, Xiamen, China.
Yanfen ZhengDepartment of Oral Mucosal Diseases, Stomatological Hospital of Xiamen Medical College, Xiamen, China.ORCID 0000-0003-3076-9614
Xiamen Chang Gung Hospital · CNZhongshan Hospital of Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rising cancer incidence in patients with oral leukoplakia (OL) highlights the importance of identifying potential biomarkers for high-risk individuals and lesions because these biomarkers are useful in developing personalized management strategies for OL patients. This study systematically searched and analyzed the literature on potential saliva and serum biomarkers for OL malignant transformation.

methodsPubMed and Scopus were searched for studies published up to April 2022. The primary outcome of this study was the difference in biomarker concentrations in saliva or serum samples from healthy control (HC), OL and oral cancer (OC) populations. Cohen's d with 95% credible interval was calculated and pooled using the inverse variance heterogeneity method.

resultsA total of seven saliva biomarkers were analyzed in this paper, including interleukin-1alpha, interleukin-6 (IL-6), interleukin-6-8, tumor necrosis factor alpha (TNF-α), copper, zinc, and lactate dehydrogenase. IL-6 and TNF-α exhibited statistically significant deviations in comparisons between HC versus OL and OL versus OC. A total of 13 serum biomarkers were analyzed, including IL-6, TNF-α, C-reactive protein, total cholesterol, triglycerides, high-density lipoproteins, low-density lipoproteins, albumin, protein, β2-microglobulin, fucose, lipid-bound sialic acid (LSA), and total sialic acid (TSA). LSA and TSA exhibited statistically significant deviations in comparisons between HC versus OL and OL versus OC.

conclusionIL-6 and TNF-α in saliva have strong predictive values for OL deterioration, and LSA and TSA concentration levels in serum also have the potential to serve as biomarkers for OL deterioration.

Indexed as

Interleukin-6Mouth NeoplasmsBiomarkersCell Transformation, NeoplasticHumansLeukoplakia, OralN-Acetylneuraminic AcidTumor Necrosis Factor-alphaBiomarkersInterleukin-6N-Acetylneuraminic AcidTumor Necrosis Factor-alphabiomarkersmalignant transformationnoninvasiveoral canceroral leukoplakia

Identifiers

PMID37199052
PMCPMC10358244
OpenAlexW4377011611

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.