Evidence map›Paper›PMID 38809620›Full record

SynthesisAsian Pacific journal of cancer prevention : APJCP2024

Blood-Based FTIR Spectroscopy as a Minimally Invasive Diagnostic Method for Colorectal Cancer: A Meta-Analysis.

Gerard Mathew Magno, Gianna Erika Lotilla, Enzo Rafael Ambrosio, Francis Louie Nagera, Maria Isabel Grino, Mikaela Rosette Castro, Javier Alfonso Millan, Joe Anthony Manzano, Raphael Enrique Tiongco, Pia Marie Albano

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Asian Pacific journal of cancer prevention : APJCP, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

10 authors.

Gerard Mathew MagnoDepartment of Biological Sciences, College of Science, University of Santo Tomas, Manila, Philippines.
Gianna Erika LotillaDepartment of Biological Sciences, College of Science, University of Santo Tomas, Manila, Philippines.
Enzo Rafael AmbrosioDepartment of Biological Sciences, College of Science, University of Santo Tomas, Manila, Philippines.
Francis Louie NageraDepartment of Biological Sciences, College of Science, University of Santo Tomas, Manila, Philippines.
Maria Isabel GrinoDepartment of Biological Sciences, College of Science, University of Santo Tomas, Manila, Philippines.
Mikaela Rosette CastroDepartment of Biological Sciences, College of Science, University of Santo Tomas, Manila, Philippines.
Javier Alfonso MillanDepartment of Biological Sciences, College of Science, University of Santo Tomas, Manila, Philippines.
Joe Anthony ManzanoThe Graduate School, University of Santo Tomas, Manila, Philippines.
Raphael Enrique TiongcoDepartment of Medical Technology, College of Allied Medical Professions, Angeles University Foundation, Angeles City, Philippines.ORCID 0000-0002-7793-6558
Pia Marie AlbanoDepartment of Biological Sciences, College of Science, University of Santo Tomas, Manila, Philippines.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis meta-analysis aims to pool the results of existing studies to obtain more precise estimates on the diagnostic efficiency of the Fourier transform infrared (FTIR) spectroscopy in detecting CRC using blood-based samples.

methodsA comprehensive database search identified 4,931 studies that were screened for eligibility. Relevant data were then extracted and collated and analyzed using Meta-DiSc 1.4 to measure the pooled diagnostic accuracy, sensitivity, specificity, likelihood ratio, and diagnostic odds ratio and presented in forest plots.

resultsThe pooled sensitivity across all six data entries was 86.10% (p = 0.20), and the specificity was 91.2% (p < 0.001). The pooled positive likelihood ratio was 9.84 (p < 0.001), indicating a strongly moderate diagnostic value, while the negative likelihood ratio was 0.16 (0.12), suggesting moderately decreased efficacy of FTIR spectroscopy in ruling out the disease. The pooled AUC was found to be at 0.94 which indicate excellent discriminating potential of FTIR of the method.

conclusionOverall, the study suggests that FTIR spectroscopy has potential as minimally invasive diagnostic method for CRC using plasma samples.

Indexed as

Colorectal NeoplasmsBiomarkers, TumorHumansPrognosisSpectroscopy, Fourier Transform InfraredBiomarkers, TumorBloodColorectal cancer (CRC)diagnostic performanceFTIR spectroscopyMeta-analysis

Identifiers

PMID38809620
PMCPMC11318836

What OpenQuestion holds

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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.