Evidence map›Paper›PMID 38883059›Full record

ArticleCureus2024

Association of Tumor Necrosis Factor-Alpha (TNF-α) rs1800629 Polymorphism in Chronic Kidney Disease.

Subhashini Lanka, Vijaya Rachel K, Anuradha Arji, Riya Raju, Tarun Kumar Suvvari, Mahek Thakwani, Yarrabathina Laxmi Supriya, Bharath Chandra Meenavilli, Sai Krishna Ravuru, Nagarjuna Sivaraj

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Subhashini LankaBiochemistry, Gandhi Institute of Technology and Management (GITAM) (Deemed to Be University), Visakhapatnam, IND.
Vijaya Rachel KBiochemistry, Gandhi Institute of Technology and Management (GITAM) (Deemed to Be University), Visakhapatnam, IND.
Anuradha ArjiMultidisciplinary Research Unit, Andhra Medical College, Visakhapatnam, IND.
Riya RajuInternal Medicine, Maharajah's Institute of Medical Sciences, Vizianagaram, IND.
Tarun Kumar SuvvariGeneral Medicine, Rangaraya Medical College, Kakinada, IND.
Mahek ThakwaniGeneral Practice, Mediciti, Hyderabad, IND.
Yarrabathina Laxmi SupriyaMedicine, Gandhi Medical College, Secunderabad, IND.
Bharath Chandra MeenavilliGeneral Medicine, Great Eastern Medical School and Hospital, Srikakulam, IND.
Sai Krishna RavuruMedicine, Great Eastern Medical School and Hospital, Srikakulam, IND.
Nagarjuna SivarajResearch and Development, Great Eastern Medical School and Hospital, Srikakulam, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Chronic kidney disease (CKD) is characterized by progressive loss of kidney function. Tumor necrosis factor-alpha (TNF-α) is a cytokine implicated in inflammatory processes, including those affecting the kidneys. Although this association is not yet comprehensible, a tie-up between renal disease and markers of inflammation - interleukin-6 (IL-6), preceded by TNF-α - is eminent. However, a pause in research is evident concerning the TNF-α gene with kidney disease in the inhabitants of India. So, this study investigates the association between TNF-α rs1800629 polymorphism and CKD. Methodology A prospective case-control study was conducted in Andhra Pradesh for over three years. A total of 579 patients participated in the study. These were divided into premature, late-stage CKD, and control groups. The amplification refractory mutation system (ARMS)-polymerase chain reaction (PCR) was used, and biochemical investigations and genotyping were carried out for the study participants. Hardy-Weinberg expected frequencies (HWE) with chi-square test was used for detecting allele and genotype frequencies. The association between TNF-α (-308 G/A, rs1800629) and CKD was assessed using odds ratios (ORs) with 95% confidence intervals (CIs). Results We found a higher prevalence of CKD among males (

Indexed as

chronic kidney diseaseckdgenegeneticspolymorphismrs1800629tnf-α

Identifiers

PMID38883059
PMCPMC11177331

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.