Evidence map›Paper›PMID 37665404›Full record

ArticleActa neurochirurgica2023

Long-term control of acromegaly after pituitary surgery in South-Eastern Norway.

Camilla M Falch, Anne K Dupont, Nicoleta C Olarescu, Markus Wiedmann, Daniel Dahlberg, Jens Bollerslev, Jon Berg-Johnsen, Ansgar Heck

Open access · hybridAbstract read
In one paragraph

Article in Acta neurochirurgica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
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  4. Article
  5. Pegvisomant in managing comorbidities of acromegaly: a review.Reviews in endocrine & metabolic disorders · 2026
    Review
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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

8 authors at 2 institutions in 1 country.

Camilla M FalchSection of Specialized Endocrinology, Department of Endocrinology, Oslo University Hospital, Postboks 4950 Nydalen, 0424, Oslo, Norway. c.m.falch@studmed.uio.no.ORCID http://orcid.org/0000-0001-9894-5245
Anne K DupontInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Postboks 1171 Blindern, 0318, Oslo, Norway.
Nicoleta C OlarescuSection of Specialized Endocrinology, Department of Endocrinology, Oslo University Hospital, Postboks 4950 Nydalen, 0424, Oslo, Norway.
Markus WiedmannDepartment of Neurosurgery, Oslo University Hospital, Postboks 4950 Nydalen, 0424, Oslo, Norway.
Daniel DahlbergDepartment of Neurosurgery, Oslo University Hospital, Postboks 4950 Nydalen, 0424, Oslo, Norway.
Jens BollerslevSection of Specialized Endocrinology, Department of Endocrinology, Oslo University Hospital, Postboks 4950 Nydalen, 0424, Oslo, Norway.
Jon Berg-JohnsenInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Postboks 1171 Blindern, 0318, Oslo, Norway.
Ansgar HeckSection of Specialized Endocrinology, Department of Endocrinology, Oslo University Hospital, Postboks 4950 Nydalen, 0424, Oslo, Norway.
Oslo University Hospital · NOUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSustained cure of acromegaly can only be achieved by surgery. Most growth hormone (GH) secreting pituitary adenomas are macroadenomas (≥ 10 mm) at diagnosis, with reported surgical cure rates of approximately 50%. Long-term data on disease control rates after surgery are limited. Our aim was to estimate short- and long-term rates of biochemical control after pituitary surgery in acromegaly and identify predictive factors.

methodsPatients operated for GH-secreting pituitary adenomas between 2005-2020 were included from the local pituitary registry (n = 178). Disease activity and treatment data were recorded at one-year (short-term) and five-year (long-term) postoperative follow-up. Biochemical control was defined as insulin-like growth factor 1 (IGF-1) ≤ 1.2 × upper limit of normal value. Multivariate regression models were used to identify factors potentially predicting biochemical control.

resultsA total of 178 patients with acromegaly (median age at diagnosis 49 (IQR: 38-59) years, 46% women) were operated for a pituitary adenoma. Biochemical control was achieved by surgery in 53% at short-term and 41% at long-term follow-up, without additional treatment for acromegaly. Biochemical control rates by surgery were of same magnitude in paired samples (45% vs. 41%, p = 0.213) for short- and long-term follow-up, respectively. At short-term, 62% of patients with microadenomas and 51% with macroadenomas, achieved biochemical control. At long-term, the biochemical control rate was 58% for microadenomas and 37% for macroadenomas (p = 0.058). With adjunctive treatment, 82% achieved biochemical control at long-term. Baseline IGF-1 levels significantly predicted biochemical control by surgery at short-term (OR: 0.98 (95% CI: 0.96-0.99), p = 0.011), but not at long-term (OR: 0.76 (95% CI: 0.57-1.00), p = 0.053).

conclusionIn unselected patients with acromegaly, the long-term biochemical control rate remains modest. Our findings indicate a need to identify patients at an earlier stage and improve therapeutic methods and surgical outcomes.

Indexed as

AcromegalyAdenomaGrowth Hormone-Secreting Pituitary AdenomaHuman Growth HormonePituitary NeoplasmsAdultFemaleHumansInsulin-Like Growth Factor IMaleMiddle AgedPituitary GlandRetrospective StudiesTreatment OutcomeHuman Growth HormoneInsulin-Like Growth Factor ICure rateGrowth hormone/somatotroph pituitary adenomaIGF-1Predictive factorsRemission

Identifiers

PMID37665404
PMCPMC10542199
OpenAlexW4386407025

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.