Evidence map›Paper›PMID 42301595›Full record

ArticlePituitary2026

Cancer risk in a large acromegaly cohort: a standardized incidence ratio analysis.

Polat Ercan, Busra Firlatan Yazgan, Suleyman Nahit Sendur, Selcuk Dagdelen, Tomris Erbas

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Article in Pituitary, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Polat ErcanDepartment of Internal Medicine, Hacettepe University School of Medicine, Ankara, Türkiye. polat.ercan12@hacettepe.edu.tr.ORCID http://orcid.org/0000-0001-5395-8691
Busra Firlatan YazganDepartment of Internal Medicine, Hacettepe University School of Medicine, Ankara, Türkiye.ORCID http://orcid.org/0000-0002-9072-5683
Suleyman Nahit SendurDepartment of Internal Medicine, Hacettepe University School of Medicine, Ankara, Türkiye.ORCID http://orcid.org/0000-0001-6740-6708
Selcuk DagdelenDepartment of Internal Medicine, Hacettepe University School of Medicine, Ankara, Türkiye.ORCID http://orcid.org/0000-0002-0513-1750
Tomris ErbasDepartment of Internal Medicine, Hacettepe University School of Medicine, Ankara, Türkiye.ORCID http://orcid.org/0000-0003-1377-9394

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate overall and site-specific cancer risk in a large Turkish acromegaly cohort and assess the contribution of surveillance bias.

methodsWe retrospectively analyzed 393 acromegaly patients followed at a single tertiary center (1980-2023). Standardized incidence ratios (SIRs) were calculated against Turkish national cancer rates. Sensitivity analyses included thyroid exclusion, graded landmarks (1, 2, 5 years), temporal restrictions, and reference rate variation (± 20%). Multivariable logistic regression assessed predictors of cancer, including cumulative IGF-1 exposure (time-weighted average, TWAvg×ULN).

resultsSixty-four patients (16.3%) developed cancer over a median follow-up of 9 years. The overall cancer SIR was 5.48 (95% CI: 4.15-7.10), driven by thyroid (46.25), renal/urinary (7.38), and breast cancer (3.75; all p < 0.001 except breast p = 0.006). The non-thyroid SIR remained significant at 2.76 (1.86-3.94, p < 0.001) and stable across graded landmarks (range 2.42-2.53; all p < 0.001) and other sensitivity analyses. TWAvg IGF-1 was higher in the cancer group (1.26 vs. 0.97 ×ULN; p = 0.002) and independently predicted cancer (OR: 1.80; 95% CI: 1.21-2.69; p = 0.004).

conclusionsIn this large single-center Turkish acromegaly cohort, the overall SIR (5.48) exceeded the pooled population-based estimate of 1.45. The non-thyroid SIR remained significant across all sensitivity analyses (range 2.22-3.45), indicating multi-site predisposition beyond surveillance bias. Cumulative IGF-1 exposure independently predicted cancer, supporting sustained hormonal excess as a driver of oncogenesis. These findings support systematic thyroid screening and heightened vigilance for non-thyroid malignancies in tertiary-managed acromegaly.

Indexed as

AcromegalyNeoplasmsAdultAgedFemaleHumansIncidenceInsulin-Like Growth Factor IMaleMiddle AgedRetrospective StudiesRisk FactorsThyroid NeoplasmsInsulin-Like Growth Factor IAcromegalyCancer riskCumulative IGF-1Landmark analysisStandardized incidence ratioSurveillance biasThyroid cancer

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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 Socratic graph.