Evidence map›Paper›PMID 24911057›Full record

SynthesisPloS one2014

Assessment of the potential diagnostic value of serum p53 antibody for cancer: a meta-analysis.

Jun Zhang, Zhiwei Xu, Lingxiang Yu, Meilan Chen, Ke Li

Abstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Diagnostic Accuracy of Serum CA19-9 in Patients with Cholangiocarcinoma: A Systematic Review and Meta-Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2015
    Pooled it
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  9. Mechanistic understanding of β-cryptoxanthin and lycopene in cancer prevention in animal models.Biochimica et biophysica acta. Molecular and cell biology of lipids · 2020
    Review
  10. MiR-1236-3p serves as a new diagnostic and prognostic biomarker for gastric cancer.Cancer biomarkers : section A of Disease markers · 2019
    Article
  11. Review
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  13. Genetic variants in CHEK1 gene are associated with the prognosis of thoracic esophageal squamous cell carcinoma patients treated with radical resection.Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban · 2016
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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

5 authors.

Jun ZhangDepartment of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong, China.
Zhiwei XuDepartment of Medical Quality Control, 302 PLA hospital, Beijing, China.
Lingxiang YuDepartment of Hepatobiliary Surgery, 302 PLA hospital, Beijing, China.
Meilan ChenDepartment of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong, China.
Ke LiDepartment of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMutant p53 protein over-expression has been reported to induce serum antibodies against p53. We assessed the diagnostic precision of serum p53 (s-p53) antibodies for diagnosis of cancer patients and compared the positive rates of the s-p53 antibody in different types of cancers.

methodsWe systematically searched PubMed and Embase, through May 31, 2012. Studies were assessed for quality using QUADAS (quality assessment of studies of diagnostic accuracy). The positive likelihood ratio (PLR) and negative likelihood ratio (NLR) were pooled separately and compared with overall accuracy measures using diagnostic odds ratios (DORs) and Area under the curve(AUC). Meta regression and subgroup analyses were done, and heterogeneity and publication bias were assessed.

resultsOf 1089 studies initially identified, 100 eligible studies with 23 different types of tumor met the inclusion criteria for the meta-analysis (cases = 15953, controls = 8694). However, we could conduct independent meta analysis on only 13 of 36 types of tumors. Approximately 56% (56/100) of the included studies were of high quality (QUADAS score≥8). The summary estimates for quantitative analysis of serum p53 antibody in the diagnosis of cancers were: PLR 5.75 (95% CI: 4.60-7.19), NLR 0.81 (95%CI: 0.79-0.83) and DOR 7.56 (95% CI: 6.02-9.50). However, for the 13 types of cancers on which meta-analysis was conducted, the ranges for PLR (2.33-11.05), NLR (0.74-0.97), DOR (2.86-13.80), AUC(0.29-0.81), and positive rate (4.47%-28.36%) indicated significant heterogeneity. We found that breast, colorectal, esophageal, gastric, hepatic, lymphoma, lung and ovarian cancer had relatively reasonable diagnostic accuracy. The remaining results of the five types of cancers suggested that s-p53 antibody had limited value.

conclusionsThe current evidence suggests that s-p53 antibody has potential diagnostic value for cancer, especially for breast, colorectal, esophageal, gastric, hepatic, lymphoma, lung and ovarian cancer. The results showed that s-p53 antibody had high correlation with cancers.

Indexed as

Biomarkers, TumorAntibodiesHumansMutationNeoplasmsOdds RatioPrognosisPublication BiasReproducibility of ResultsTumor Suppressor Protein p53AntibodiesBiomarkers, TumorTumor Suppressor Protein p53

Identifiers

PMID24911057
PMCPMC4049633

What OpenQuestion holds

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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.