Evidence map›Paper›PMID 29489701›Full record

SynthesisMedicine2018

Macrophage inhibitory cytokine-1 versus carbohydrate antigen 19-9 as a biomarker for diagnosis of pancreatic cancer: A PRISMA-compliant meta-analysis of diagnostic accuracy studies.

Ying Yang, Shirong Yan, Hui Tian, Yixi Bao

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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

20 citing papers in PubMed.

  1. Review
  2. Challenges of early detection of pancreatic cancer.The Journal of clinical investigation · 2025
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Observational
  17. Article
  18. Review
  19. Identification of Serum Biomarker Panels for the Early Detection of Pancreatic Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Article
  20. The Use of Biomarkers in Early Diagnostics of Pancreatic Cancer.Canadian journal of gastroenterology & hepatology · 2018
    Review
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.

Ying YangDepartment of Laboratory Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, P.R. China.
Shirong Yan
Hui Tian
Yixi Bao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBecause of the high malignant degree of pancreatic cancer (PC), the early diagnosis of PC is of great concern. Macrophage inhibitory cytokine-1 (MIC-1) was reported to be a potential diagnostic biomarker, but its diagnostic value is indeterminate. Therefore, we performed this meta-analysis to compare it to carbohydrate antigen 19-9 (CA19-9), the most frequently used serum biomarker in PC. MATERIAL AND

methodsAfter a systematic review of the relevant studies, the pooled diagnostic indices, including sensitivity, specificity, positive/negative likelihood ratio (PLR/NLR), diagnostic odds ratio (DOR), summary receiver operating characteristic curve (sROC), and area under the SROC curve (AUC) were used to evaluate the diagnostic value of MIC-1 and CA19-9 for PC. These indices were pooled with random-effects models. We explored the heterogeneity by meta-regression.

resultsFourteen studies comprising a total of 2826 subjects were included in our meta-analysis. The summary estimates for MIC-1 and CA19-9 are listed as follows: sensitivity, 80% [95% confidence interval (CI) 78-82] versus 71% (95% CI 68-73); specificity, 85% (95% CI 83-87) versus 88% (95% CI 86-90); DOR, 24.57 (95% CI 14.00-43.10) versus 17.65 (95% CI 11.65-26.76); area under sROC (AUC), 0.8945 versus 0.8322; PLR, 5.18 (95% CI 3.24-8.26) versus 5.34 (95% CI 3.78-7.54); and NLR, 0.23 (95% CI 0.19-0.29) versus 0.32 (95% CI 0.28-0.37).

conclusionThese data demonstrate that serum MIC-1 has a comparable diagnostic accuracy to CA19-9 for PC.

Indexed as

AdultAgedBiomarkers, TumorCA-19-9 AntigenFemaleGrowth Differentiation Factor 15HumansMaleMiddle AgedOdds RatioPancreatic NeoplasmsROC CurveSensitivity and SpecificityBiomarkers, TumorCA-19-9 AntigenGDF15 protein, humanGrowth Differentiation Factor 15

Identifiers

PMID29489701
PMCPMC5851718

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.