Evidence map›Paper›PMID 21061174›Full record

ReviewFamilial cancer2011

Care for patients with multiple endocrine neoplasia type 1: the current evidence base.

C R C Pieterman, M R Vriens, K M A Dreijerink, R B van der Luijt, G D Valk

Abstract readReview
PubMed Publisher
In one paragraph

Review in Familial cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-weighted citation impact, top 12% 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, 47 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

C R C PietermanDepartment of Internal Medicine, University Medical Centre Utrecht, Utrecht, The Netherlands.
M R Vriens
K M A Dreijerink
R B van der Luijt
G D Valk
University Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple endocrine neoplasia type 1 (MEN1) is a rare disease caused by mutations in the MEN1 gene on chromosome 11. It is characterized by the occurrence of primary hyperparathyroidism (pHPT), duodenopancreatic neuroendocrine tumours (pNET), pituitary tumours (PIT), adrenal adenomas (ADR) and neuroendocrine tumours (NET) of the stomach, bronchus and thymus. MEN1 is a syndrome with high penetrance and high morbidity. Malignant NETs are the most important cause of MEN1-related death. Since 1997 the diagnosis can be made by genetic screening. MEN1 is a complex syndrome and the endocrine manifestations cannot be viewed upon as coinciding sporadic tumours. Differences in epidemiology and pathology between MEN1-related tumours and their sporadic counterparts show that a unique approach is needed. Therefore the care for MEN1 patients should be provided by a centre of expertise. Early genetic diagnosis and periodic screening are important pillars of care. For primary hyperparathyroidism surgery is the most important treatment modality, with a subtotal parathyroid gland resection as the procedure of choice. In neuroendocrine tumours surgery also is the most important treatment modality. Selective tumour enucleation has no place in the surgical treatment of MEN1-related pNETs; the exact procedure depends on the functionality of the tumour. In MEN1-associated pituitary and adrenal adenomas, watchful waiting and medical therapy play more important roles. In the twenty-first century new developments will impact the care for MEN1 patients. These developments should be critically evaluated in clinical research with the ultimate goal of optimizing the care for MEN1 patients on an evidence base.

Indexed as

Patient CareHumansMultiple Endocrine Neoplasia Type 1

Identifiers

PMID21061174
OpenAlexW2061987497

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.