Evidence map›Paper›PMID 34540402›Full record

ArticleCureus2021

Brown Tumor With Spine Involvement at Multiple Levels in a Hemodialysis Patient.

Victoria Ghernautan, Zarwa Idrees, Mahmoud Nassar, Camelia Ciobanu, Adesh Ramdass

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Massive brown tumors of the jaw: A case report.SAGE open medical case reports · 2023
    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

5 authors at 3 institutions in 1 country.

Victoria GhernautanInternal Medicine, Icahn School of Medicine at Mount Sinai/NYC Health+Hospitals Queens, New York, USA.
Zarwa IdreesInternal Medicine, Icahn School of Medicine at Mount Sinai/NYC Health+Hospitals Queens, New York, USA.
Mahmoud NassarInternal Medicine, Icahn School of Medicine at Mount Sinai/NYC Health+Hospitals Queens, New York, USA.
Camelia CiobanuMedicine, St. Barnabas Hospital, The Bronx, USA.
Adesh RamdassMedicine, Icahn School of Medicine at Mount Sinai/NYC Health+Hospitals Queens, New York, USA.
Mount Sinai Hospital · USSt. Barnabas Hospital · USQueens Hospital Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brown tumor of the bone or osteitis fibrosa cystica is a rare manifestation of hyperparathyroidism, most seen nowadays in association with secondary and tertiary hyperparathyroidism. Chronic kidney disease (CKD) and end-stage renal disease (ESRD) are the major culprits of secondary hyperparathyroidism (sHPTH). CKD is known to cause phosphate retention and a decrease in 1,25-dihydroxyvitamin D and ionized calcium levels, which in turn trigger the PTH secretion. Brown tumor can affect the jawbones, femur, sternum, ribs, and rarely the spine. We present the case of a 60-year-old male with ESRD on hemodialysis who was found to have lytic bone lesions in the thoracic and lumbar spine. Initially, malignancy was suspected. Blood work revealed markedly elevated PTH at 3,563 pg/mL, hypocalcemia, and hyperphosphatemia. Biopsy of the L5-S1 lesion was consistent with reactive changes due to sHPTH. Once a diagnosis of the brown tumor was confirmed, the patient was started on cinacalcet and was referred for parathyroidectomy.

Indexed as

bone lytic lesionsbrown tumorchronic kidney diseaseosteitis fibrosa cysticaparathyroid hormonesecondary hyperparathyroidismvertebral brown tumor

Identifiers

PMID34540402
PMCPMC8423116
OpenAlexW3188198383

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.