Evidence map›Paper›PMID 37859987›Full record

ArticleFrontiers in endocrinology2023

How do

Noha Mukhtar, Kheloud Alhamoudi, Meshael Alswailem, Hindi Alhindi, Avaniyapuram Kannan Murugan, Balgees Alghamdi, Ali S Alzahrani

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. 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
2.2field-weighted citation impact, top 11% 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, 11 citations in OpenAlex.

  1. Review
  2. Observational
  3. Blocking interplay between TERT and c-Myc: a new therapeutic strategy forInternational journal of biological sciences · 2025
    Article
  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 at 1 institution in 1 country.

Noha MukhtarDepartment of Medicine, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia.
Kheloud AlhamoudiDepartment of Molecular Oncology, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia.
Meshael AlswailemDepartment of Molecular Oncology, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia.
Hindi AlhindiDepartment of Pathology and Laboratory Medicine, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia.
Avaniyapuram Kannan MuruganDepartment of Molecular Oncology, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia.
Balgees AlghamdiDepartment of Molecular Oncology, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia.
Ali S AlzahraniDepartment of Medicine, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia.
King Faisal Specialist Hospital & Research Centre · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: The American Thyroid Association risk stratification (ATA) and the American Joint Committee on Cancer Tumor Node Metastases (TNM) predict recurrence and mortality of differentiated thyroid cancer (DTC). Patients and methods: We studied 296 unselected patients, 214 females and 82 males with a median age of 36 years (IQR 23.3-49.0). Results: Of 296 patients tested, 137 (46.3%) had Conclusion:

Indexed as

AdenocarcinomaCarcinoma, PapillaryTelomeraseThyroid NeoplasmsAdultFemaleHumansMaleMiddle AgedMutationNeoplasm StagingPromoter Regions, GeneticProto-Oncogene Proteins B-rafThyroid Cancer, PapillaryYoung AdultBRAF protein, humanProto-Oncogene Proteins B-rafTelomeraseTERT protein, humanBRAFV600Edifferentiated thyroid cancerrisk stratificationsTERT promoter mutationsthyroid cancer

Identifiers

PMID37859987
PMCPMC10582750
OpenAlexW4387335499

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.