Evidence map›Paper›PMID 32963755›Full record

ArticleInternational journal of inflammation2020

Inflammatory Serum Biomarkers in Colorectal Cancer in Kazakhstan Population.

L Akhmaltdinova, V Sirota, V Zhumaliyeva, D Babenko, I Kadyrova, Z Tauesheva, D Taizhanova, A Ibraeva, M Maratkyzy, A Turmukhambetova

Open access · goldAbstract read
In one paragraph

Article in International journal of inflammation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 7 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

10 authors at 1 institution in 1 country.

L AkhmaltdinovaShared Resource Lab of the Karaganda Medical University, Karaganda 10001, Kazakhstan.
V SirotaOncology Department of the Karaganda Medical University, Karaganda 10001, Kazakhstan.
V ZhumaliyevaOncology Department of the Karaganda Medical University, Karaganda 10001, Kazakhstan.
D BabenkoShared Resource Lab of the Karaganda Medical University, Karaganda 10001, Kazakhstan.
I KadyrovaShared Resource Lab of the Karaganda Medical University, Karaganda 10001, Kazakhstan.ORCID https://orcid.org/0000-0001-7173-3138
Z TaueshevaDepartment of Internal Diseases of the Karaganda Medical University, Karaganda 10001, Kazakhstan.
D TaizhanovaDepartment of Internal Diseases of the Karaganda Medical University, Karaganda 10001, Kazakhstan.
A IbraevaShared Resource Lab of the Karaganda Medical University, Karaganda 10001, Kazakhstan.
M MaratkyzyShared Resource Lab of the Karaganda Medical University, Karaganda 10001, Kazakhstan.
A TurmukhambetovaScience and Strategic Development Department of the Karaganda Medical University, Karaganda 10001, Kazakhstan.
Karaganda Medical University · KZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer is a type of oncopathology widespread in Kazakhstan. The genetic component, as well as the possible etiopathogenetic mechanisms, is widely studied. One of the most promising areas is the study of diagnostic and prognostic possibilities of inflammatory biomarkers in patients with different degrees of tumor differentiation. The following biomarkers were included in the study panel: stem cell factor (SCF), vascular endothelial growth factor (VEGF), fibroblast growth factor (FGF2), interleukin 6 (IL6), interleukin 8 (IL8), macrophage migration inhibitory factor (MIF), soluble Fas (SFAS), soluble Fas ligand (sFASL), transforming growth factor

Identifiers

PMID32963755
PMCPMC7495209
OpenAlexW3084312058

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.