Evidence map›Paper›PMID 26926527›Full record

ArticleAmerican journal of surgery2016

Multimorbidity and access to major cancer surgery at high-volume hospitals in a regionalized era.

Chukwuemeka Ihemelandu, Chaoyi Zheng, Erin Hall, Russell C Langan, Nawar Shara, Lynt Johnson, Waddah Al-Refaie

Abstract read
In one paragraph

Article in American journal of surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. National guidelines may reduce socioeconomic disparities in treatment selection for esophageal cancer.Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus · 2019
    Article
  5. Article
  6. Article
  7. Why Do Long-Distance Travelers Have Improved Pancreatectomy Outcomes?Journal of the American College of Surgeons · 2017
    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

7 authors.

Chukwuemeka IhemelanduDepartment of General Surgery, MedStar Washington Hospital Center, 106 Irving St, NW, POB Suite 3900, Washington, DC, 20010, USA. Electronic address: Chukwuemeka.u.Ihemelandu@medstar.net.
Chaoyi ZhengMedStar-Georgetown Surgical Outcomes Research Center, Washington, DC, USA.
Erin HallDepartment of Surgery, MedStar-Georgetown University Hospital, Washington, DC, USA.
Russell C LanganMedStar-Georgetown Surgical Outcomes Research Center, Washington, DC, USA.
Nawar SharaMedStar-Georgetown Surgical Outcomes Research Center, Washington, DC, USA; MedStar Health Research Institute, Hyattsville, Maryland, USA.
Lynt JohnsonMedStar-Georgetown Surgical Outcomes Research Center, Washington, DC, USA; Department of Surgery, MedStar-Georgetown University Hospital, Washington, DC, USA; Lombardi Comprehensive Cancer Center, Washington, DC, USA.
Waddah Al-RefaieMedStar-Georgetown Surgical Outcomes Research Center, Washington, DC, USA; MedStar Health Research Institute, Hyattsville, Maryland, USA; Lombardi Comprehensive Cancer Center, Washington, DC, USA.

Funding

Maternal Morbidity and Mortality: Risk Factors, Early Detection and Personalized InterventionUL1TR001409 · NCATS · GEORGETOWN UNIVERSITY · PI GONDRE-LEWIS, MARJORIE C, MELLMAN, THOMAS A · 2015 to 2024
$37.8M
Kidney and Cardiovascular Disease in American IndiansF32DK075204 · NIDDK · MEDSTAR HEALTH RESEARCH INSTITUTE · PI SHARA, NAWAR · 2006 to 2007
$73k
NCATS NIH HHS UL1 TR001409NIDDK NIH HHS F32 DK075204
6 · The paper itself

Abstract

backgroundThe Institute of Medicine has recently prioritized access of quality cancer care to vulnerable persons including multimorbid patients. Despite promotional efforts to regionalize major surgical procedures to high-volume hospitals (HVHs), little is known about change in access to HVH over time among multimorbid patients in need of major cancer surgery. We performed a time-trend appraisal of access of multimorbid persons to HVH for major cancer surgery within a large nationally representative cohort.

methodsWe identified 168,934 patients who underwent 6 major cancer surgeries from the Nationwide Inpatient Sample (1998 to 2010). Comorbidities were identified using Elixhauser's method. HVHs were defined as hospitals of highest procedure volumes that treated 1/3 of all the patients. Logistic regression models and predictive margins were used to assess the adjusted effects of comorbidity on receiving major cancer surgeries at HVH.

resultsOf all, 45.7% of the patients had 2 comorbidities or more. Multimorbidity predicted decreased access to HVH for esophagectomy, total gastrectomy, pancreatectomy, hepatectomy, and proctectomy, but not for distal gastrectomy, after controlling for covariates. A comorbidity level by year interaction analysis also showed that little disparity existed for receiving distal gastrectomy at an HVH, whereas the predicted difference in probability of receiving any of the other 5 major cancer procedures remained prominent between the years 1998 and 2010.

conclusionsIn this large 12-year time-trend study, multimorbid cancer patients have sustained low access to HVH for major cancer surgery across many oncologic resections. These results continue to reinforce and highlight the need for policy targeted research and intervention aimed at improving these access gaps.

Indexed as

Health Services AccessibilityAdultAgedAged, 80 and overComorbidityFemaleHospitals, High-VolumeHumansLongitudinal StudiesMaleMiddle AgedNeoplasmsPractice Patterns, Physicians'PrognosisSurgery Department, HospitalUnited StatesCancer surgeryHigh-volume hospitalsMultimorbidityRegionalized era

Identifiers

PMID26926527
PMCPMC5260797

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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.