Evidence map›Paper›PMID 40040932›Full record

ArticleBMJ surgery, interventions, & health technologies2025

Hidden costs of surgical complications: a retrospective cohort study.

François-Xavier Ladant, Yann Parc, Morgan Roupret, Edward Kong, Ljubica Ristovska, Aurélia Retbi, Emmanuel Chartier Kastler, Jalal Assouad, Harry Etienne, Alain Sautet and 6 more

Abstract read
In one paragraph

Article in BMJ surgery, interventions, & health technologies, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

16 authors.

François-Xavier LadantDepartment of Economics, Harvard University, Cambridge, Massachusetts, USA.
Yann ParcDepartment of Digestive Surgery, Sorbonne Université, AP-HP, Hôpital Saint-Antoine, Paris, France.
Morgan RoupretGRC 5 Predictive Onco-Uro, Assistance Publique-Hôpitaux de Paris, Urology, Pitie-Salpetriere Hospital, Paris, France, Sorbonne University, Paris, France.
Edward KongDepartment of Economics, Harvard University, Cambridge, Massachusetts, USA.
Ljubica RistovskaDepartment of Economics, Yale University, New Haven, Connecticut, USA.
Aurélia RetbiMedical Information Department, Hopital Saint Antoine, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, Paris, France.
Emmanuel Chartier KastlerUrology, Pitie-Salpetriere Hospital, Assistance Publique Hôpitaux de Paris, Paris, France.
Jalal AssouadDepartment of Thoracic Surgery, Sorbonne Université, AP-HP, Hopital Tenon, Paris, France.
Harry EtienneDepartment of Thoracic Surgery, Sorbonne Université, AP-HP, Hopital Tenon, Paris, France.
Alain Sautet12Orthopedic and Traumatology Department, Saint-Antoine Hospital, Assistance Publique - Hopitaux de Paris, Paris, France.
Victor MardonSorbonne Université, GRC 29, Groupe de Recherche Clinique en Anesthésie Réanimation Médecine Périopératoire, ARPE, Assistance Publique Hôpitaux de Paris, Paris, France.
Maxim ScrumedaSorbonne Université, GRC 29, Groupe de Recherche Clinique en Anesthésie Réanimation Médecine Périopératoire, ARPE, Assistance Publique Hôpitaux de Paris, Paris, France.
Abou Kane DialloPublic health department, Pitié Salpétrière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
Julien Hedou *APHP, Hopital Saint Antoine, DMU DREAM, Department of Anesthesiology and Critical Care, AP-HP, Paris, France.
Pierre Rufat *Public health department, Pitié Salpétrière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
Franck Verdonk *Sorbonne Université, GRC 29, Groupe de Recherche Clinique en Anesthésie Réanimation Médecine Périopératoire, ARPE, Assistance Publique Hôpitaux de Paris, Paris, France.ORCID 0000-0001-7061-5594

Funding

Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
MD-PhD Training Program in Aging and the Social/Behavioral SciencesT32AG051108 · NIA · HARVARD MEDICAL SCHOOL · PI MCWILLIAMS, JOHN MICHAEL · 2015 to 2025
$2.1M
NIA NIH HHS T32 AG051108NIGMS NIH HHS T32 GM144273
6 · The paper itself

Abstract

Objectives: To quantify how surgical complications impact hospital revenue when their effect on the volume of admissions is considered. Design: Retrospective analysis of comprehensive administrative data. Setting: Three university hospitals in France. Participants: 54 637 inpatient stays between 2017 and 2023 in 4 surgical departments (abdominal, orthopedics, thoracic, and urology). Main outcome measures: Stays were categorized by their diagnosis-related group and occurrence of one or more complications, according to International Classification of Diseases, 10th revision diagnosis codes. First, data were aggregated monthly to determine the impact of variation in the monthly mean length of stay (LOS) on the monthly volume of admissions, using an instrumental variable strategy. Second, LOS and revenue per patient were compared for patients with and without complications. Finally, an estimation of the impact of complications on total revenue was performed. Results: A total of 54 637 stays were analyzed, with 9735 (17.8%) experiencing at least one complication. The mean LOS was 8.7 days and the mean revenue per patient was €7602. The instrumental variable analysis, designed to account for unobserved confounders, showed that a decrease of 10% in the monthly mean LOS increased the monthly volume of admissions by 9% (95% CI (5.1% to 13.0%), p<0.01). Complications increased the LOS by 10.9 days (95% CI: (8.95 to 13.1), p<0.01) and revenue per patient by €7912 (95% CI: (6420 to 9087), p<0.01), but decreased daily revenue per patient by €211 (95% CI: (-384 to -83.0), p<0.01). Over the study period, the estimated potential loss induced by complications ranged from 6.6% (95% CI (6.3% to 7.0%), p<0.01) to 9.1% (95% CI (8.8% to 9.4%), p<0.01) of actual revenue. Departments with higher complication rates incurred larger potential losses. Conclusions: Surgical complications reduce total revenue by crowding out short stays that generate more daily revenue. This challenges the consensus that complications are a boon for hospital revenue, instead implying that they shrink hospital net margins (ie, revenue minus costs).

Indexed as

Health Care CostsHealth Care Quality, Access, and EvaluationMedical Errors

Identifiers

PMID40040932
PMCPMC11877240

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.