Evidence map›Paper›PMID 33262611›Full record

ArticleOncoTargets and therapy2020

Diagnostic Value of Serum Insulin-Like Growth Factor Binding Protein 7 (IGFBP7) in Colorectal Cancer.

Bo Qiu, Ling-Yu Chu, Xin-Xin Li, Yu-Hui Peng, Yi-Wei Xu, Jian-Jun Xie, Xiao-Yang Chen

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Bo Qiu *Department of Pathology, Medical College of Jiaying University, Meizhou, People's Republic of China.
Ling-Yu Chu *Department of Clinical Laboratory Medicine, The Cancer Hospital of Shantou University Medical College, Shantou, People's Republic of China.ORCID 0000-0002-4682-0931
Xin-Xin LiDepartment of Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, People's Republic of China.
Yu-Hui PengDepartment of Clinical Laboratory Medicine, The Cancer Hospital of Shantou University Medical College, Shantou, People's Republic of China.
Yi-Wei XuDepartment of Clinical Laboratory Medicine, The Cancer Hospital of Shantou University Medical College, Shantou, People's Republic of China.ORCID 0000-0002-8670-592X
Jian-Jun XiePrecision Medicine Research Center, Shantou University Medical College, Shantou, People's Republic of China.ORCID 0000-0002-5141-5076
Xiao-Yang ChenDepartment of Pediatric, The First Affiliated Hospital of Shantou University Medical College, Shantou, People's Republic of China.ORCID 0000-0001-5669-2673
Shantou University · CNJiaying University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHigh serum insulin-like growth factor binding protein-7 (IGFBP-7) has been found in several malignant tumors. Here, we aimed to assess the diagnostic potential of serum IGFBP7 in patients with colorectal cancer (CRC). PATIENTS AND

methodsAn enzyme-linked immunosorbent assay (ELISA) was performed to detect IGFBP7 level in the serum of 115 CRC patients and 107 healthy controls, and receiver operating characteristics (ROC) was used to evaluate the accuracy of diagnosis.

resultsThe levels of serum IGFBP7 were significantly higher in CRC than those in normal controls (

conclusionOur study suggested that serum IGFBP7 might serve as a potential biomarker for early-stage CRC diagnosis.

Indexed as

biomarkercolorectal cancerdiagnosisIGFBP7serum

Identifiers

PMID33262611
PMCPMC7699993
OpenAlexW3108988737

What OpenQuestion holds

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LicenceCC BY-NC
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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.