Evidence map›Paper›PMID 32441006›Full record

ArticleJournal of endocrinological investigation2021

Predictive model of surgical remission in acromegaly: age, presurgical GH levels and Knosp grade as the best predictors of surgical remission.

M Araujo-Castro, E Pascual-Corrales, V Martínez-Vaello, G Baonza Saiz, J Quiñones de Silva, A Acitores Cancela, A M García Cano, V Rodríguez Berrocal

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Article in Journal of endocrinological investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Pituitary adenoma imaging as a determinant of acromegaly diagnosis and outcomes.The Journal of clinical endocrinology and metabolism · 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

8 authors at 2 institutions in 1 country.

M Araujo-CastroNeuroendocrinology Unit, Department of Endocrinology and Nutrition, Hospital Universitario Ramón y Cajal, Madrid, Spain. martaazul.2a@hotmail.com.ORCID http://orcid.org/0000-0002-0519-0072
E Pascual-CorralesNeuroendocrinology Unit, Department of Endocrinology and Nutrition, Hospital Universitario Ramón y Cajal, Madrid, Spain.
V Martínez-VaelloNeuroendocrinology Unit, Department of Endocrinology and Nutrition, Hospital Universitario Ramón y Cajal, Madrid, Spain.
G Baonza SaizNeuroendocrinology Unit, Department of Endocrinology and Nutrition, Hospital Universitario Ramón y Cajal, Madrid, Spain.
J Quiñones de SilvaNeuroendocrinology Unit, Department of Endocrinology and Nutrition, Hospital Universitario Ramón y Cajal, Madrid, Spain.
A Acitores CancelaNeuroendocrinology Unit, Department of Neurosurgery, Hospital Universitario Ramón y Cajal, Madrid, Spain.
A M García CanoHormones and Tumors Markers Unit, Department of Biochemistry, Hospital Universitario Ramón y Cajal, Madrid, Spain.
V Rodríguez BerrocalNeuroendocrinology Unit, Department of Neurosurgery, Hospital Universitario Ramón y Cajal, Madrid, Spain.
Hospital Universitario Ramón y Cajal · ESUniversity Hospital HM Puerta del Sur · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify presurgical clinical, hormonal and radiological variables associated with surgical remission in acromegaly and develop a predictive model for surgical remission.

methodsAmbispective study of acromegaly surgical patients followed in two Spanish tertiary hospitals. Patients operated by the same neurosurgeon by endonasal endoscopic transsphenoidal approach (n = 49) were included to develop the predictive model, and patients operated by other neurosurgeons (n = 37) were used for external validation of the predictive model. The predictive model was developed with a multivariate logistic regression model based on the 2000 criteria.

results86 acromegalic patients were included. 49 patients, 83.7% with macroadenomas and 32.7% with Knosp grade > 2, were included for the development of the predictive model. The overall rate of surgical remission with the 2000 criteria was 73.5% and 51.0% with the 2010 criteria. Using the 2000 criteria, variables associated with surgical remission were: older age (OR = 1.1, p = 0.001), lower basal presurgical GH levels (OR = 0.9, p = 0.003), Knosp 0-2 (OR = 34.1, p < 0.0001) and lower maximum pituitary adenoma diameter (OR = 0.9, p = 0.019). The model with the best diagnostic accuracy to predict surgical remission combined age, Knosp 0-2 and presurgical GH levels (AIC = 29.7, AUC = 0.95) with a sensitivity of 93.8% and a specificity of 75.0%. The estimated loss of prediction with the external validation (n = 37) was 4.2%.

conclusionThe predictive model with the best diagnosis accuracy for surgical remission combined age, Knosp 0-2 and presurgical GH levels, with a sensitivity of 93.8% and a specificity of 75.0%. This model could be very useful to select candidates to preoperative medical treatment and planning the follow-up.

Indexed as

AcromegalyEndoscopyFemaleFollow-Up StudiesHuman Growth HormoneHumansMaleMiddle AgedPituitary NeoplasmsPredictive Value of TestsRemission InductionRetrospective StudiesTreatment OutcomeHuman Growth HormoneAcromegalyPituitary tumourPredictive modelSurgical remissionTranssphenoidal surgery

Identifiers

PMID32441006
OpenAlexW3028295041

What OpenQuestion holds

Textmetadata
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.