Evidence map›Paper›PMID 35928364›Full record

ArticleJournal of medicine and life2022

Comparison of TNF-α and IL-19 concentrations at different stages of breast cancer.

Amera Kamal Mohammed

Open access · diamondAbstract readComparative Study
In one paragraph

Article in Journal of medicine and life, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

1 author at 1 institution in 1 country.

Amera Kamal MohammedClinical Laboratory Sciences Department, College of Pharmacy, University of Kirkuk, Kirkuk, Iraq.
University of Kirkuk · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the alteration of tumour necrosis factor (TNF-α) and interleukin-19 (IL-19) at different clinical disease stages, lymph node metastasis, and ductal carcinoma in women with breast cancer. Serum samples were collected from 90 individuals with an age range of 25-61 years. These individuals were divided into a control group (healthy people), consisting of 31 individuals, and a breast cancer patients (BCP) group, consisting of 59 individuals. The pathological data (tumour stage, lymph node metastasis, and ductal carcinoma) was obtained from the medical record of patients and confirmed by experienced histopathology. Enzyme-linked immunosorbent assay (ELISAs) technology was used to measure the serum concentrations of IL-19 and TNF-α. The results showed significant differences (P≤0.002) in the mean of BMI, interleukin-19, and TNF-α in BCP compared to controls, while the age factor did not play an important role. The stages of breast cancer caused clear differences in the levels of TNF-α and IL-19. According to the findings, BCPs had a greater level of TNF-α in lymph node metastases than healthy persons. The concentration of serum IL-19 in BCP with lymph node metastasis was significantly different in non-lymph node metastasis patients and healthy people. Additionally, BCP with ductal carcinoma showed significant differences in the mean levels of IL-19 and TNF-α in comparison with healthy people.

Indexed as

Breast NeoplasmsCarcinoma, Ductal, BreastInterleukinsTumor Necrosis Factor-alphaAdultFemaleHumansLymphatic MetastasisMiddle AgedIL19 protein, humanInterleukinsTNF protein, humanTumor Necrosis Factor-alphaBMIbreast cancerinterleukin-19metastasisTNF-α

Identifiers

PMID35928364
PMCPMC9321485
OpenAlexW4289958065

What OpenQuestion holds

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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.