Evidence map›Paper›PMID 35546443›Full record

SynthesisCancer medicine2022

Prognostic value of IGFBP2 in various cancers: a systematic review and meta-analysis.

Biao Zhang, Chao-Qun Hong, Yu-Hao Luo, Lai-Feng Wei, Yun Luo, Yu-Hui Peng, Yi-Wei Xu

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. The Role of M6A LncRNA Modification in Papillary Thyroid Cancer.International journal of molecular sciences · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors at 1 institution in 1 country.

Biao ZhangDepartment of Clinical Laboratory Medicine, Cancer Hospital of Shantou University Medical College, Shantou, China.
Chao-Qun HongProvincial Key Laboratory of Guangdong Breast Cancer Diagnosis and Treatment, Cancer Hospital of Shantou University Medical College, Shantou, China.
Yu-Hao LuoDepartment of Clinical Laboratory Medicine, Cancer Hospital of Shantou University Medical College, Shantou, China.
Lai-Feng WeiDepartment of Clinical Laboratory Medicine, Cancer Hospital of Shantou University Medical College, Shantou, China.
Yun LuoDepartment of Clinical Laboratory Medicine, Cancer Hospital of Shantou University Medical College, Shantou, China.
Yu-Hui PengDepartment of Clinical Laboratory Medicine, Cancer Hospital of Shantou University Medical College, Shantou, China.ORCID 0000-0002-1866-4679
Yi-Wei XuDepartment of Clinical Laboratory Medicine, Cancer Hospital of Shantou University Medical College, Shantou, China.ORCID 0000-0002-8670-592X
Shantou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognostic significance of insulin-like growth factor binding protein 2 (IGFBP2) expression has been explored in plenty of studies in human cancers. Because of the controversial results, the meta-analysis was carried out to evaluate the relevance of IGFBP2 expression with the prognosis in various tumors.

methodsThe data searched from four databases (Pubmed, Embase, Cochrane library, and Web of science) was used to calculate pooled hazard ratios (HRs) in this meta-analysis. Subgroup analyses were stratified by ethnicity, cancer type, publication year, Newcastle-Ottawa Scale score, treatments, and populations.

resultsTwenty-one studies containing 5560 patients finally met inclusion criteria. IGFBP2 expression was associated with lower overall survival (HR = 1.57, 95% CI = 1.31-1.88) and progression-free survival (HR = 1.18, 95% CI = 1.04-1.34) in cancer patients, but not with disease-free survival (HR = 1.50, 95% CI = 0.91-2.46) or recurrence-free survival (HR = 1.50, 95% CI = 0.93-2.40). The subgroup analyses indicated IGFBP2 overexpression was significantly correlated with overall survival in Asian patients (HR = 1.42, 95% CI = 1.18-1.72), Caucasian patients (HR = 2.20, 95% CI = 1.31-3.70), glioma (HR = 1.36, 95% CI = 1.03-1.79), and colorectal cancer (HR = 2.52, 95% CI = 1.43-4.44) and surgery subgroups (HR = 1.97, 95% CI = 1.50-2.58).

conclusionThe meta-analysis showed that IGFBP2 expression was associated with worse prognosis in several tumors, and may serve as a potential prognostic biomarker in cancer patients.

Indexed as

Insulin-Like Growth Factor Binding Protein 2NeoplasmsDisease-Free SurvivalHumansPrognosisProportional Hazards ModelsIGFBP2 protein, humanInsulin-Like Growth Factor Binding Protein 2cancerinsulin-like growth factor binding protein 2 (IGFBP2)overall survivalprognosis

Identifiers

PMID35546443
PMCPMC9385590
OpenAlexW4280605860

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.