Evidence map›Paper›PMID 34572876›Full record

ArticleCancers2021

MicroRNA-Based Risk Score for Predicting Tumor Progression Following Radioactive Iodine Ablation in Well-Differentiated Thyroid Cancer Patients: A Propensity-Score Matched Analysis.

Eman A Toraih, Manal S Fawzy, Mohammad H Hussein, Mohamad M El-Labban, Emmanuelle M L Ruiz, Abdallah A Attia, Shams Halat, Krzysztof Moroz, Youssef Errami, Mourad Zerfaoui and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. MicroRNA Profiling in Papillary Thyroid Cancer.International journal of molecular sciences · 2024
    Article
  3. Article
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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

11 authors at 3 institutions in 3 countries.

Eman A ToraihDepartment of Surgery, Tulane University School of Medicine, New Orleans, LA 70112, USA.ORCID 0000-0001-9267-3787
Manal S FawzyDepartment of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt.ORCID 0000-0003-1252-8403
Mohammad H HusseinDepartment of Surgery, Tulane University School of Medicine, New Orleans, LA 70112, USA.
Mohamad M El-LabbanDepartment of Pathology, Faculty of Medicine, Port Said University, Port Said 42526, Egypt.
Emmanuelle M L RuizDepartment of Surgery, Tulane University School of Medicine, New Orleans, LA 70112, USA.
Abdallah A AttiaDepartment of Surgery, Tulane University School of Medicine, New Orleans, LA 70112, USA.
Shams HalatDepartment of Pathology & Laboratory Medicine, Tulane University School of Medicine, New Orleans, LA 70112, USA.
Krzysztof MorozDepartment of Pathology & Laboratory Medicine, Tulane University School of Medicine, New Orleans, LA 70112, USA.
Youssef ErramiDepartment of Surgery, Tulane University School of Medicine, New Orleans, LA 70112, USA.
Mourad ZerfaouiDepartment of Surgery, Tulane University School of Medicine, New Orleans, LA 70112, USA.
Emad KandilDepartment of Surgery, Tulane University School of Medicine, New Orleans, LA 70112, USA.
Tulane University · USSuez Canal University · EGPort Said University · EG

Funding

Carol Lavin Bernick Grant NA
6 · The paper itself

Abstract

To identify molecular markers that can accurately predict aggressive tumor behavior at the time of surgery, a propensity-matching score analysis of archived specimens yielded two similar datasets of DTC patients (with and without RAI). Bioinformatically selected microRNAs were quantified by qRT-PCR. The risk score was generated using Cox regression and assessed using ROC, C-statistic, and Brier-score. A predictive Bayesian nomogram was established. External validation was performed, and causal network analysis was generated. Within the eight-year follow-up period, progression was reported in 51.5% of cases; of these, 48.6% had the T1a/b stage. Analysis showed upregulation of miR-221-3p and miR-222-3p and downregulation of miR-204-5p in 68 paired cancer tissues (

Indexed as

microRNAsmiR-204miR-221miR-222nomogramprogressRAIrisk scoresurvivalthyroid cancer

Identifiers

PMID34572876
PMCPMC8468667
OpenAlexW3199518278

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.