Evidence map›Paper›PMID 36504511›Full record

ArticleWorld journal of gastrointestinal surgery2022

Development of a warning score for early detection of colorectal anastomotic leakage: Hype or hope?

Nuno J G Rama, Óscar Lourenço, Patrícia C Motta Lima, Maria Pedro S Guarino, Diana Parente, Ricardo Castro, Ana Bento, Anabela Rocha, Fernando Castro-Poças, João Pimentel

Open access · diamondAbstract read
In one paragraph

Article in World journal of gastrointestinal surgery, 2022. 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
–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

0 citing papers in PubMed, 0 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

10 authors at 2 institutions in 1 country.

Nuno J G RamaDivision of Colorectal Surgical, Leiria Hospital Centre, Leiria 2410-021, Portugal.
Óscar LourençoFaculty of Economics, CeBER, University of Coimbra, Coimbra 3000-137, Portugal.
Patrícia C Motta LimaDivision of Colorectal Surgical, Leiria Hospital Centre, Leiria 2410-021, Portugal.
Maria Pedro S GuarinoCenter for Innovative Care and Health Technology (ciTechCare), Polytechnic of Leiria, Leiria 2410-541, Portugal.
Diana ParenteDivision of Colorectal Surgical, Leiria Hospital Centre, Leiria 2410-021, Portugal.
Ricardo CastroDivision of Clinical Pathology, Leiria Hospital Centre, Leiria 2410-541, Portugal.
Ana BentoDivision of Clinical Pathology, Leiria Hospital Centre, Leiria 2410-541, Portugal.
Anabela RochaAbel Salazar Biomedical Institute, University of Oporto, Oporto 4099-002, Portugal.
Fernando Castro-PoçasDepartment of Gastroenterology, Santo António Hospital, Porto Hospital Center, Oporto 4099-001, Portugal.
João PimentelFaculty of Medicine, University of Coimbra, Coimbra 3004-531, Portugal.
University of Coimbra · PTInstituto Politécnico de Leiria · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal anastomotic leakage (CAL), a severe postoperative complication, is associated with high morbidity, hospital readmission, and overall healthcare costs. Early detection of CAL remains a challenge in clinical practice. However, some decision models have been developed to increase the diagnostic accuracy of this event.

aimTo develop a score based on easily accessible variables to detect CAL early.

methodsBased on the least absolute shrinkage and selection operator method, a predictive classification system was developed [Early ColoRectAL Leakage (E-CRALL) score] from a prospective observational, single center cohort, carried out in a colorectal division from a non-academic hospital. The score performance and CAL threshold from postoperative day (POD) 3 to POD5 were estimated. Based on a precise analytical decision model, the standard clinical practice was compared with the E-CRALL adoption on POD3, POD4, or POD5. A cost-minimization analysis was conducted, on the assumption that all alternatives delivered similar health-related effects.

resultsIn this study, 396 patients who underwent colorectal resection surgery with anastomosis, and 6.3% (

conclusionThe E-CRALL score is an accessible tool to predict CAL at an early timepoint. Additionally, E-CRALL can reduce overall healthcare costs, mainly in the reduction of hospital costs, independent of whether a patient developed CAL.

Indexed as

Anastomotic leakageBiomarkersColorectalCostsScoreSurgery

Identifiers

PMID36504511
PMCPMC9727571
OpenAlexW4310037482

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.