Evidence map›Paper›PMID 34262360›Full record

ArticleInternational medical case reports journal2021

Incidental Finding of Elevated Serum Cartilage Oligomeric Matrix Protein (sCOMP) in Knee Osteoarthritis Patient with Undiagnosed Colon Cancer: A Case Report.

Yose Waluyo, Gita Vita Soraya, Susanto H Kusuma, Faradilla Anwar, Insani Nanda Wahyuni

Open access · goldAbstract readCase Reports
In one paragraph

Article in International medical case reports journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 54% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 2 countries.

Yose WaluyoDepartment of Physical Medicine and Rehabilitation, Faculty of Medicine, Hasanuddin University, Makassar, Indonesia.
Gita Vita SorayaDepartment of Biochemistry, Faculty of Medicine, Hasanuddin University, Makassar, Indonesia.
Susanto H KusumaSiloam Hospitals, Makassar, Indonesia.ORCID 0000-0002-0753-9135
Faradilla AnwarSiloam Hospitals, Makassar, Indonesia.
Insani Nanda WahyuniCerebellum Clinic, Makassar, Indonesia.
Hasanuddin University · IDSiloam Eye Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe clinical utility of cartilage oligomeric matrix protein (COMP) as a diagnostic and prognostic biomarker is currently under intense study. COMP has been associated primarily with musculoskeletal disorders such as rheumatoid and osteoarthritis (OA) or muscular and ligament trauma. Aside from its established role as a biomarker of arthritis, an increasing number of studies have also suggested the role of COMP in tumorigenesis, based on findings of its expression in breast, prostate, and colon cancers. CASE PRESENTATION: We described the case of a 61-year-old man with knee osteoarthritis and was prescribed physical therapy and a course of prolotherapy injection. We found elevated sCOMP levels in our patient (twice higher than average). After a month of follow-up, he was diagnosed with colorectal cancer.

conclusionIt makes us wonder about other conditions of the patients. There is no standard COMP parameter to differentiate OA patients from colorectal cancer patients, but it considers the increase is higher in colorectal cancer patients. We suggest to clinicians who use the COMP level to monitor OA condition to be aware of other conditions when the level is much higher than average OA patients.

Indexed as

cartilage oligomeric matrix proteincolorectal cancerknee osteoarthritis

Identifiers

PMID34262360
PMCPMC8275040
OpenAlexW3180411001

What OpenQuestion holds

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Registered trials

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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.