Evidence map›Paper›PMID 35462669›Full record

ArticleIndian journal of surgical oncology2022

Hypercalcemia of Malignancy: Time to Pull the Brakes.

Deepak Sundriyal, Lima Arya, Rajat Saha, Meenu Walia, Priya P Nayak

Open access · greenAbstract read
In one paragraph

Article in Indian journal of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Deepak SundriyalAll India Institute of Medical Sciences, Rishikesh, Uttarakhand India.ORCID https://orcid.org/0000-0002-6378-7694
Lima AryaMax Superspeciality Hospital, New Delhi, India.
Rajat SahaMax Superspeciality Hospital, New Delhi, India.
Meenu WaliaMax Superspeciality Hospital, New Delhi, India.
Priya P NayakIMS and Sum Hospital, Bhubaneshwar, India.
Max Super Speciality Hospital · INAll India Institute of Medical Sciences Rishikesh · INInstitute of Medical Sciences and Sum Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypercalcemia of malignancy (HOM) is usually seen in advanced stage and carries a poor prognosis. Survival outcomes are dismal and most of the patients are unable to receive subsequent definite anti-cancer therapy. There is lack of any retrospective or prospective data regarding hypercalcemia of malignancy in Indian population. We aim to describe survival outcomes in hypercalcemia associated with solid organ malignancies. Forty-five patients diagnosed with HOM associated with solid organ malignancies were included in the study. Patients were followed up till death. Clinical features and survival outcomes were noted. Squamous cell carcinoma of head and neck region and lung comprised most of the cases associated with HOM. Most of the patients presented with poor performance status. Median overall survival (OS) was 20 days (2-78 days). Median OS was 35 days (9-58 days) in those who received definite anti-cancer therapy. Four-week mortality rate was estimated as 59.5%, while this increased to 75.7% within 6 weeks from the diagnosis of hypercalcemia. Survival outcomes are poor after the diagnosis of hypercalcemia in cancer patients. Best supportive care including hospice care should be strongly considered at this point of time instead of definite systemic anti-cancer therapy.

Indexed as

Best supportive careBisphosphonate therapyHypercalcemia of malignancySquamous cell carcinoma

Identifiers

PMID35462669
PMCPMC8986951
OpenAlexW3034236901

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.