Evidence map›Paper›PMID 38529140›Full record

ReviewAnnals of joint2022

Skeletal metastatic disease of the acetabulum: historical and evolving techniques for management.

Adam D Lindsay

Open access · diamondAbstract readReview
In one paragraph

Review in Annals of joint, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 76% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

1 author at 1 institution in 1 country.

Adam D LindsayDepartment of Orthopaedic Surgery, Division of Orthopaedic Oncology, University of Connecticut, Farmington, CT, USA.ORCID 0000-0002-4188-9681
Orthopaedic Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The skeleton is the third most common organ system to be involved in the spread of metastatic carcinomas. More options for systemic therapies, surgeries and adjuvant treatments are providing longer survival for patients with known metastatic carcinoma to the bone. This means more patients are living with metastatic skeletal disease than ever before. If metastatic disease results in enough bone loss it can cause significant pain and dysfunction for patients. The acetabulum and pelvis are common sites of metastatic disease. The complex anatomy of the bony pelvis and acetabulum, as well as its proximity to important neurovascular and pelvic structures, can make surgical management of acetabular metastatic disease technically difficult. Decision making for patients with symptomatic skeletal metastatic disease is complex, and multidisciplinary teams can be helpful in providing appropriate care for these patients. Systemic chemotherapies, immunotherapies or targeted therapies may not adequately treat large areas of metastatic disease in the hip and pelvis. Radiation therapy is not successful for all patients. Fortunately, there are evolving therapies that are giving patients and providers more options for treatment. This review article will cover some of those new therapies and their outcomes, focusing on newer ablative, minimally invasive and surgical reconstruction techniques for metastatic disease involving the acetabulum. Decision making in the management of a patient's metastatic acetabular disease is still made on a case by case basis. This review article hopefully will remind clinicians of the variety of treatments available to these patients.

Indexed as

acetabulumMetastatic diseaseskeleton

Identifiers

PMID38529140
PMCPMC10929325
OpenAlexW3209062775

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.