Evidence map›Paper›PMID 39850465›Full record

ArticleArthroplasty today2025

Patient "No-Show" Prior to Elective Primary Total Hip Arthroplasty Increases Risk of Postoperative Anemia.

Jeffrey S Mun, Matthew W Parry, Alex Tang, Jesse J Manikowski, Cory Crinella, John J Mercuri

Abstract read
In one paragraph

Article in Arthroplasty today, 2025. 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
–field-weighted citation impact
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.

  1. 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

6 authors.

Jeffrey S MunGeisinger Commonwealth School of Medicine, Scranton, PA, USA.
Matthew W ParryGeisinger Musculoskeletal Institute, Division of Adult Reconstruction, Scranton, PA, USA.
Alex TangGeisinger Musculoskeletal Institute, Division of Adult Reconstruction, Scranton, PA, USA.
Jesse J ManikowskiGeisinger Cancer Institute, Center for Oncology Research and Innovation, Danville, PA, USA.
Cory CrinellaGeisinger Musculoskeletal Institute, Division of Adult Reconstruction, Scranton, PA, USA.
John J MercuriGeisinger Musculoskeletal Institute, Division of Adult Reconstruction, Scranton, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients who "no-show" (NS) clinical appointments are at a higher risk of poor healthcare outcomes. The objective of this study was to evaluate and characterize the relationship between patient NS prior to primary total hip arthroplasty (THA) and 90-day complication risk after THA. Methods: We retrospectively reviewed 4147 patients undergoing primary THA. Patients were divided based on whether they NS at least 1 appointment vs always attend (AA) appointments. Information collected included number of NS and attended appointments, demographics, comorbidities, and 90-day postoperative complications. Regression analyses were run to identify relationships between NS status and postoperative outcomes, as well as factors that would predict NS status. Results: Compared to AA patients, NS patients had an increased odds of a postoperative complication (odds ratio:1.3, Conclusions: There was an increased risk for complications, specifically anemia-related complications, in THA patients who NS preoperatively. Demographic factors were independently associated with higher odds of missing a scheduled clinical appointment. The results suggest orthopedic surgeons should consider NS data to pre-emptively assess risk for complications following THA. Level of Evidence: Level III.

Indexed as

Health disparitiesIdentification of high-risk patientsNo-showTotal hip arthroplasty

Identifiers

PMID39850465
PMCPMC11754156

What OpenQuestion holds

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Registered trials

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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.