Evidence map›Paper›PMID 32602066›Full record

ReviewPituitary2020

Prognostic factors of biochemical remission after transsphenoidal surgery for acromegaly: a structured review.

Nidhi Agrawal, Adriana G Ioachimescu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pituitary, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 59 citations in OpenAlex.

  1. Patency of the Cavernous Sinus After Medial Wall Resection: An Observational Study.Journal of neurological surgery. Part B, Skull base · 2026
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  3. Current treatment landscape of acromegaly.The Journal of clinical endocrinology and metabolism · 2026
    Review
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  11. Acromegaly: diagnostic challenges and individualized treatment.Expert review of endocrinology & metabolism · 2025
    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

2 authors at 2 institutions in 1 country.

Nidhi AgrawalDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, NYU School of Medicine, 550 First Avenue, New York City, NY, 10016, USA.
Adriana G IoachimescuDepartment of Medicine and Neurosurgery, Emory University School of Medicine, 1365 B Clifton Road B-2200, Northeast, B6209, Atlanta, GA, 30322, USA. aioachi@emory.edu.ORCID http://orcid.org/0000-0002-5292-9802
Emory University · USNew York University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBiochemical control is the main determinant of survival, clinical manifestations and comorbidities in acromegaly. Transsphenoidal selective adenomectomy (TSA) is the initial treatment of choice with reported biochemical remission rates varying between 32 and 85%. Understanding the limiting factors is essential for identification of patients who require medical treatment.

methodsWe reviewed the English literature published in Medline/Pubmed until Dec 31, 2019 to identify eligible studies that described outcomes of TSA as primary therapy and performed analyses to determine the main predictors of remission.

resultsMost publications reported single-institution, retrospective studies. The following preoperative parameters were consistently associated with lower remission rates: cavernous sinus invasion by imaging, larger tumor size and higher GH levels. Young age and preoperative IGF-1 levels were predictive in some studies. When controlled for covariates, the best single preoperative predictor was cavernous sinus invasion, followed by preoperative GH levels. Conversely, low GH level in the first few days postoperatively was a robust predictor of durable remission. The influence of tumor histology (sparsely granular pattern, co-expression of prolactin and proliferation markers) on surgical remission remains to be established. Few studies developed predictive models that yielded much higher predictive values than individual parameters.

conclusionSurgical outcome prognostication systems could be further generated by machine learning algorithms in order to support development and implementation of personalized care in patients with acromegaly.

Indexed as

AcromegalyBiomarkers, TumorHuman Growth HormoneHumansNeurosurgical ProceduresPrognosisTreatment OutcomeBiomarkers, TumorHuman Growth HormoneAcromegalyAgeCavernous sinus invasionGenderGrowth hormoneGrowth hormone secreting tumorIGF-1RemissionSparsely granular tumorsTranssphenoidal surgeryTumor markers

Identifiers

PMID32602066
OpenAlexW3038574472

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.