Evidence map›Paper›PMID 33996779›Full record

ArticleFrontiers in bioengineering and biotechnology2021

Agent-Based Learning Model for the Obesity Paradox in RCC.

Matteo Belenchia, Giacomo Rocchetti, Stefano Maestri, Alessia Cimadamore, Rodolfo Montironi, Matteo Santoni, Emanuela Merelli

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2021. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

7 authors.

Matteo BelenchiaLaboratory of Data Science and Bioshape, School of Science and Technology, University of Camerino, Camerino, Italy.
Giacomo RocchettiLaboratory of Data Science and Bioshape, School of Science and Technology, University of Camerino, Camerino, Italy.
Stefano MaestriLaboratory of Data Science and Bioshape, School of Science and Technology, University of Camerino, Camerino, Italy.
Alessia CimadamoreSection of Pathological Anatomy, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Ancona, Italy.
Rodolfo MontironiSection of Pathological Anatomy, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Ancona, Italy.
Matteo SantoniDepartment of Oncology, Macerata Hospital, Macerata, Italy.
Emanuela MerelliLaboratory of Data Science and Bioshape, School of Science and Technology, University of Camerino, Camerino, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A recent study on the immunotherapy treatment of renal cell carcinoma reveals better outcomes in obese patients compared to lean subjects. This enigmatic contradiction has been explained, in the context of the debated obesity paradox, as the

Indexed as

bioagentcell-cell interaction networkcomputational biologydynamical networksimmunotherapyinteraction-as-perception paradigmmultiagent systemrenal cell carcinoma

Identifiers

PMID33996779
PMCPMC8116955

What OpenQuestion holds

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LicenceCC BY
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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.