Evidence map›Paper›PMID 32267504›Full record

ArticleNeurosurgery2020

The Impact of Insulin-Like Growth Factor Index and Biologically Effective Dose on Outcomes After Stereotactic Radiosurgery for Acromegaly: Cohort Study.

Christopher S Graffeo, Diane Donegan, Dana Erickson, Paul D Brown, Avital Perry, Michael J Link, William F Young, Bruce E Pollock

Abstract read
In one paragraph

Article in Neurosurgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Can acromegaly be controlled in all cases?Journal of neuroendocrinology · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Acromegaly: diagnostic challenges and individualized treatment.Expert review of endocrinology & metabolism · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Approach to the Patient With Treatment-resistant Acromegaly.The Journal of clinical endocrinology and metabolism · 2022
    Article
  17. Article
  18. Jacob I. Fabrikant Award lectureJournal of radiosurgery and SBRT · 2022
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Christopher S GraffeoDepartment of Neurological Surgery, Mayo Clinic, Rochester, Minnesota.
Diane DoneganDivision of Endocrinology, Indiana University, Indianapolis, Indiana.
Dana EricksonDepartment of Endocrinology, Mayo Clinic, Rochester, Minnesota.
Paul D BrownDepartment of Radiation Oncology, Mayo Clinic, Rochester, Minnesota.
Avital PerryDepartment of Neurological Surgery, Mayo Clinic, Rochester, Minnesota.
Michael J LinkDepartment of Neurological Surgery, Mayo Clinic, Rochester, Minnesota.
William F YoungDepartment of Endocrinology, Mayo Clinic, Rochester, Minnesota.
Bruce E PollockDepartment of Neurological Surgery, Mayo Clinic, Rochester, Minnesota.

Funding

NRSA Training CoreTL1TR002380 · NCATS · MAYO CLINIC ROCHESTER · PI Felicity T. B. Enders, ANTHONY John WINDEBANK · 2017 to 2026
$6.0M
NCATS NIH HHS TL1 TR002380
6 · The paper itself

Abstract

backgroundStereotactic radiosurgery (SRS) is a safe and effective treatment for acromegaly.

objectiveTo improve understanding of clinical and dosimetric factors predicting biochemical remission.

methodsA single-institution cohort study of nonsyndromic, radiation-naïve patients with growth hormone-producing pituitary adenomas (GHA) having single-fraction SRS between 1990 and 2017. Exclusions were treatment with pituitary suppressive medications at the time of SRS, or <24 mo of follow-up. The primary outcome was biochemical remission-defined as normalization of insulin-like growth factor-1 index (IGF-1i) off suppression. Biochemical remission was assessed using Cox proportional hazards. Prior studies reporting IGF-1i were assessed via systematic literature review and meta-analysis using random-effect modeling.

resultsA total of 102 patients met study criteria. Of these, 46 patients (45%) were female. The median age was 49 yr (interquartile range [IQR] = 37-59), and the median follow-up was 63 mo (IQR = 29-100). The median pre-SRS IGF-1i was 1.66 (IQR = 1.37-3.22). The median margin dose was 25 Gy (IQR = 21-25); the median estimated biologically effective dose (BED) was 169.49 Gy (IQR = 124.95-196.00). Biochemical remission was achieved in 58 patients (57%), whereas 22 patients (22%) had medication-controlled disease. Pre-SRS IGF-1i ≥ 2.25 was the strongest predictor of treatment failure, with an unadjusted hazard ratio (HR) of 0.51 (95% CI = 0.26-0.91, P = .02). Number of isocenters, margin dose, and BED predicted remission on univariate analysis, but after adjusting for sex and baseline IGF-1i, only BED remained significant-and was independently associated with outcome in continuous (HR = 1.01, 95% CI = 1.00-1.01, P = .02) and binary models (HR = 2.27, 95% CI = 1.39-5.22, P = .002). A total of 24 patients (29%) developed new post-SRS hypopituitarism. Pooled HR for biochemical remission given subthreshold IGF-1i was 2.25 (95% CI = 1.33-3.16, P < .0001).

conclusionIGF-1i is a reliable predictor of biochemical remission after SRS. BED appears to predict biochemical outcome more reliably than radiation dose, but confirmatory study is needed.

Indexed as

AcromegalyAdenomaAdultCohort StudiesFemaleGrowth Hormone-Secreting Pituitary AdenomaHumansInsulin-Like Growth Factor IMaleMiddle AgedRadiosurgeryRelative Biological EffectivenessRetrospective StudiesTreatment OutcomeIGF1 protein, humanInsulin-Like Growth Factor IAcromegalyBiologically effective doseDosimetryEvidence-based medicineGrowth hormoneInsulin-like growth factorRadiobiologyStereotactic radiosurgery

Identifiers

PMID32267504
PMCPMC7426191

What OpenQuestion holds

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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.