Evidence map›Paper›PMID 32811475›Full record

SynthesisBMC endocrine disorders2020

Combined therapy of somatostatin analogues with pegvisomant for the treatment of acromegaly: a meta-analysis of prospective studies.

Lingyun Ma, Daohuang Luo, Ting Yang, Songtao Wu, Min Li, Chaoyang Chen, Shuang Zhou, Lingyue Ma, Ye Wu, Ying Zhou and 1 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC endocrine disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Current treatment landscape of acromegaly.The Journal of clinical endocrinology and metabolism · 2026
    Review
  2. Review
  3. Pegvisomant in managing comorbidities of acromegaly: a review.Reviews in endocrine & metabolic disorders · 2026
    Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
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

11 authors at 2 institutions in 1 country.

Lingyun MaDepartment of Pharmacy, Peking University First Hospital, No.6, Da Hong Luo Chang Street, Beijing, 100034, China.
Daohuang LuoDepartment of Pharmacy, Peking University First Hospital, No.6, Da Hong Luo Chang Street, Beijing, 100034, China.
Ting YangDepartment of Pharmacy, Peking University First Hospital, No.6, Da Hong Luo Chang Street, Beijing, 100034, China.
Songtao WuDepartment of Pharmacy, Peking University First Hospital, No.6, Da Hong Luo Chang Street, Beijing, 100034, China.
Min LiDepartment of Pharmacy, Peking University First Hospital, No.6, Da Hong Luo Chang Street, Beijing, 100034, China.
Chaoyang ChenDepartment of Pharmacy, Peking University First Hospital, No.6, Da Hong Luo Chang Street, Beijing, 100034, China.
Shuang ZhouDepartment of Pharmacy, Peking University First Hospital, No.6, Da Hong Luo Chang Street, Beijing, 100034, China.
Lingyue MaDepartment of Pharmacy, Peking University First Hospital, No.6, Da Hong Luo Chang Street, Beijing, 100034, China.
Ye WuDepartment of Pediatrics, Peking University First Hospital, Beijing, China.
Ying ZhouDepartment of Pharmacy, Peking University First Hospital, No.6, Da Hong Luo Chang Street, Beijing, 100034, China. zhouying0321@126.com.
Yimin CuiDepartment of Pharmacy, Peking University First Hospital, No.6, Da Hong Luo Chang Street, Beijing, 100034, China.
Peking University First Hospital · CNPeking University · CN

Funding

The Drug Innovation Major Project 2017ZX09304029-006The Drug Innovation Major Project 2017ZX09304029-006-001The Drug Innovation Major Project 2018ZX09721003-008
6 · The paper itself

Abstract

backgroundAcromegaly is a rare, chronic and severe disease. Drug therapy including somatostatin analogues (SAs), dopamine receptor agonists and growth hormone receptor antagonists (pegvisomant, PEG) are commonly used to treat patients who do not respond to surgery. The use of combination therapy with PEG and SAs has become more common over the last decade. We performed this study to accurately evaluate the effect of combination therapy of SAs with PEG on acromegalic patients.

methodsPubMed, EMBASE, The Cochrane Library, ClinicalTrials.gov, Scopus, Web of Science, Chinese Biomedical Literature Database and Trip database were searched for relevant studies. Prospective clinical trials treating acromegaly with the co-administration of SAs and PEG were included. We performed a meta-analysis by using Stata 12.1. Sensitivity analysis was conducted to explore heterogeneity.

resultsNine studies were included in this meta-analysis. The overall rate of serum insulin-like growth factor 1 (IGF-1) normalization was 66% (95% CI: 52-78%; I

conclusionsCombined therapy of SAs and PEG effectively normalized IGF-1 levels in most of the patients whose IGF-1 level was greater than the upper limit of normal after high dose SAs monotherapy. The therapy also decreased significantly FPI levels with a neutral effect on glucose parameters in acromegaly patients. Moreover, elevated liver enzyme levels were observed in a small number of patients, which suggests a need for liver function monitoring.

trial registrationWe have our protocol registered in PROSPERO. (Registration number: CRD42019115549 ).

Indexed as

AcromegalyAdultAgedClinical Trials as TopicDrug Therapy, CombinationFemaleHuman Growth HormoneHumansInsulin-Like Growth Factor IMaleMiddle AgedProspective StudiesSomatostatinTreatment OutcomeYoung AdultHuman Growth HormoneIGF1 protein, humanInsulin-Like Growth Factor IpegvisomantSomatostatinAcromegalyMeta-analysisPegvisomantSomatostatin analogues

Identifiers

PMID32811475
PMCPMC7433060
OpenAlexW3074722028

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.