Evidence map›Paper›PMID 29436563›Full record

ArticleSaudi medical journal2018

The rising trend in papillary thyroid carcinoma. True increase or over diagnosis?

Manar H Hajeer, Heyam A Awad, Niveen I Abdullah, Ghadeer H Almuhaisen, Loay E Abudalu

Abstract read
In one paragraph

Article in Saudi medical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. [A nomogram combining ultrasound radiomics and clinical features for predicting pathological invasiveness of papillary thyroid carcinoma].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026
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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

5 authors.

Manar H HajeerDepartment of Histopathology, Microbiology and Forensic Medicine, University of Jordan, Amman, Jordan. E-mail. m.hajeer83@hotmail.com.
Heyam A Awad
Niveen I Abdullah
Ghadeer H Almuhaisen
Loay E Abudalu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the changes in parameters of thyroid carcinoma, particularly papillary type, in the era of widespread use of sensitive diagnostic methods. We aim to investigate whether the increased frequency of thyroid cancer is true or resulted from over diagnosis. Methods: We conducted a retrospective study of 313 cases of thyroid carcinoma diagnosed at Jordan University Hospital and King Hussein Cancer Center from 2007-2015. Papillary carcinoma accounted for 290 (92.7%) of all cases. Cases were sub classified according to demographic features, histological type, size, stage, and other variables. For comparison of data, cases were subdivided into 2 study periods: Group I included patients diagnosed in the period 2007-2010, and Group II in the period 2011-2015. Results: The frequency of thyroid carcinoma has increased across the study period. Papillary carcinoma was the major type accounting for this increase. Papillary micro carcinomas ≤1cm accounted for 34.8% of cases of PTC. Most cases (52.4%) of papillary thyroid carcinoma (PTC) were localized stage tumors. Group II of the study witnessed a more than doubled number of cases of PTC compared to group I, with increased frequency of tumors of all sizes as well as tumors of both localized and regional stages. Conclusions: Our observed trend cannot be totally explained by over diagnosis and increased diagnostic scrutiny. This increase could be of true nature and cannot be explained by single cause.

Indexed as

AdultAge FactorsCarcinoma, PapillaryFemaleHumansIncidenceJordanMaleMedical OveruseMiddle AgedNeoplasm StagingRetrospective StudiesSex FactorsThyroid Cancer, PapillaryThyroid NeoplasmsTumor Burden

Identifiers

PMID29436563
PMCPMC5885091

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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.