Evidence map›Paper›PMID 25112227›Full record

ArticleEndocrine2014

Surgical treatment of prolactinomas: cons.

Eve Bloomgarden, Mark E Molitch

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2014. 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
2.1field-weighted citation impact, top 13% 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, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Surgical Management of Giant Prolactinomas: A Descriptive Study.International journal of endocrinology · 2023
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Management of macroprolactinomas.Clinical diabetes and endocrinology · 2015
    Article
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 1 institution in 1 country.

Eve BloomgardenDivision of Endocrinology, Metabolism and Molecular Medicine, Feinberg School of Medicine, Northwestern University, 645 N. Michigan Ave., Suite 530, Chicago, IL, 60611, USA.
Mark E Molitch
Northwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prolactinomas account for approximately 40 % of all pituitary adenomas. Over 95 % of prolactinomas are microadenomas (< 10 mm diameter). Treatment is indicated to correct hypogonadism, restore other hormonal deficits, and alleviate local mass effects. Dopamine agonists (DA) are highly effective in achieving these goals and are well-tolerated. The vast majority of prolactinomas will respond to conventional doses of cabergoline (≤2 mg/week) that do not carry an increased risk of cardiac valvular abnormalities. DA therapy may be successful withdrawn in a subset of patients and thus is not necessarily a lifelong commitment. Although transsphenoidal surgery (TSS) is an option for prolactinoma treatment, it is less effective than medical management, carries considerably more risk, and is more expensive. The benefit/risk ratio for DA therapy compared to TSS actually becomes increasingly more favorable as tumor size increases. Therefore DA should remain the clear treatment of choice for essentially all patients with prolactinomas, reserving TSS as a second-line option for the very small number of patients that do not tolerate or are completely resistant to DA therapy.

Indexed as

Dopamine AgonistsHumansNeurosurgical ProceduresPituitary NeoplasmsProlactinomaTreatment OutcomeDopamine Agonists

Identifiers

PMID25112227
OpenAlexW2004793953

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.