Evidence map›Paper›PMID 37775175›Full record

SynthesisClinical medicine (London, England)2023

Treatment of hypercalcaemia of malignancy in adults.

Darran Mc Donald, Matthew T Drake, Rachel K Crowley

Open access · diamondAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Clinical medicine (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Emergencies in Hematology: Why, When and How I Treat?Journal of clinical medicine · 2024
    Review
  6. 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

3 authors at 3 institutions in 2 countries.

Darran Mc DonaldSt Vincent's University Hospital, Dublin, Ireland darranmcdonald@gmail.com.
Matthew T DrakeMayo Clinic, Rochester, USA.
Rachel K CrowleySt Vincent's University Hospital, Dublin, and University College Dublin, Ireland.
Mayo Clinic in Florida · USSt. Vincent's University Hospital · IEUniversity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypercalcaemia of malignancy (HCM) is a common metabolic complication of advanced malignancies with a prevalence varying from 2-30%, depending on cancer type and disease stage. HCM is associated with impaired quality of life, increased risk of hospitalisation and limited survival. Evidence-based guidelines for management of HCM have been lacking to date, despite its prevalence and detrimental impact. This concise guidance highlights key recommendations from the recent Endocrine Society Clinical Practice Guidelines on Treatment of Hypercalcaemia of Malignancy in Adults, published in December 2022. A systematic review and meta-analysis was commissioned to support the guideline development process. Key suggestions include the use of denosumab in preference to intravenous bisphosphonates as first-line treatment for HCM and the use of denosumab in cases of recurrent or refractory HCM in patients previously treated with intravenous bisphosphonates. The guideline also identifies priority areas for future research.

Indexed as

Bone Density Conservation AgentsHypercalcemiaNeoplasmsAdultDenosumabDiphosphonatesHumansParaneoplastic SyndromesQuality of LifeBone Density Conservation AgentsDenosumabDiphosphonatesantiresorptivebisphosphonatecalcimimeticcalcitonincancerdenosumabglucocorticoidshypercalcaemiamalignancyparathyroid cancer

Identifiers

PMID37775175
PMCPMC10541286
OpenAlexW4387190704

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.