Evidence map›Paper›PMID 28963390›Full record

ArticleBMJ case reports2017

Acromegaly with hypophosphataemia: McCune-Albright syndrome.

Rimesh Pal, Pinaki Dutta, Kanchan Kumar Mukherjee, Anil Bhansali

Open access · bronzeAbstract readCase Reports
In one paragraph

Article in BMJ case reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Rimesh PalDepartment of Endocrinology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Pinaki DuttaDepartment of Endocrinology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Kanchan Kumar MukherjeeDepartment of Neurosurgery, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Anil BhansaliDepartment of Endocrinology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Post Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 38-year-old man presented with excessive height gain and progressive enlargement of the extremities since childhood. This was compounded by lower limb deformities over the past 5 years. On examination, his height was 196 cm, he had macroglossia, acral enlargement, seborrhoea, hyperhidrosis-suggesting acrogigantism. He had facial asymmetry, wind-swept deformity of lower limbs and a café-au-lait macule over his trunk. Investigations revealed normal-sized pituitary gland with dysplastic cranial bones. Isotope bone scintigraphy was suggestive of polyostotic fibrous dysplasia. A diagnosis of McCune-Albright syndrome was made and trans-sphenoidal hypophysectomy was undertaken. He had persistent hypophosphataemia. Tubular reabsorption of phosphate adjusted for glomerular filtration rate was low and serum FGF-23 level was high. Ga-DOTATATE scintigraphy showed somatostatin-receptor expression in all the dysplastic lesions. FGF-23 produced by the bony lesions could counteract the phosphate-retaining effect of GH excess resulting in hypophosphataemia, which further worsened following hypophysectomy.

Indexed as

AcromegalyAdultCafe-au-Lait SpotsFacial AsymmetryFibroblast Growth Factor-23Fibrous Dysplasia, PolyostoticHumansHypophosphatemiaMaleRadionuclide ImagingFibroblast Growth Factor-23calcium and bonepituitary disorders

Identifiers

PMID28963390
PMCPMC5652865
OpenAlexW2758192764

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.