<?xml version="1.0" encoding="UTF-8"?>
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  <title>DSpace Collection: 1-279</title>
  <link rel="alternate" href="http://localhost:8080/xmlui/handle/123456789/4793" />
  <subtitle>1-279</subtitle>
  <id>http://localhost:8080/xmlui/handle/123456789/4793</id>
  <updated>2026-04-21T11:05:45Z</updated>
  <dc:date>2026-04-21T11:05:45Z</dc:date>
  <entry>
    <title>Reply to JMorze and L Schwingshackl</title>
    <link rel="alternate" href="http://localhost:8080/xmlui/handle/123456789/4828" />
    <author>
      <name />
    </author>
    <id>http://localhost:8080/xmlui/handle/123456789/4828</id>
    <updated>2023-06-12T04:30:26Z</updated>
    <published>2021-01-01T00:00:00Z</published>
    <summary type="text">Title: Reply to JMorze and L Schwingshackl</summary>
    <dc:date>2021-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Letter to the Editor on “Comparing the Effects of Docosahexaenoic and Eicosapentaenoic Acids on Inflammation Markers Using Pairwise and Network Meta-Analyses of Randomized Controlled Trials”</title>
    <link rel="alternate" href="http://localhost:8080/xmlui/handle/123456789/4827" />
    <author>
      <name />
    </author>
    <id>http://localhost:8080/xmlui/handle/123456789/4827</id>
    <updated>2023-06-12T04:25:15Z</updated>
    <published>2021-01-01T00:00:00Z</published>
    <summary type="text">Title: Letter to the Editor on “Comparing the Effects of Docosahexaenoic and Eicosapentaenoic Acids on Inflammation Markers Using Pairwise and Network Meta-Analyses of Randomized Controlled Trials”</summary>
    <dc:date>2021-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Nutrition-Sensitive Agriculture: A Systematic Review of Impact Pathways to Nutrition Outcomes</title>
    <link rel="alternate" href="http://localhost:8080/xmlui/handle/123456789/4826" />
    <author>
      <name>Sharma, Indu K</name>
    </author>
    <author>
      <name>Prima, Sabina Di</name>
    </author>
    <author>
      <name>Essink, Dirk</name>
    </author>
    <author>
      <name>EWBroerse, Jacqueline</name>
    </author>
    <id>http://localhost:8080/xmlui/handle/123456789/4826</id>
    <updated>2023-06-12T04:22:38Z</updated>
    <published>2021-01-01T00:00:00Z</published>
    <summary type="text">Title: Nutrition-Sensitive Agriculture: A Systematic Review of Impact Pathways to Nutrition Outcomes
Authors: Sharma, Indu K; Prima, Sabina Di; Essink, Dirk; EWBroerse, Jacqueline
Abstract: The role of agriculture in reducing undernutrition is widely recognized, yet there is also consensus on the need to make the sector nutritionsensitive. Evidence on the impact pathways from nutrition-sensitive agriculture (NSA) interventions, agricultural interventions with specific nutrition objectives, and actions detailing each temporal stage to reach nutrition outcomes is limited, however. We thus synthesized study results regarding&#xD;
impact of NSA interventions on nutrition outcomes relating to undernutrition, and constructed an impact pathway by mapping the evidence on each temporal stage from interventions to nutrition outcomes. We used Preferred Reporting Items for Systematic Reviews and Meta-Analyses to conduct and report our systematic review of studies on NSA interventions implemented in low- and lower-middle-income countries. Forty-three&#xD;
studies that met the inclusion criteria were extracted and synthesized across impact and pathways analyses. We carried out a thematic analysis of the effect of NSA interventions using evidence-based indicators and constructed the pathways by adopting a published framework on agriculture to nutrition pathways. Our findings reveal that NSA interventions can significantly improve dietary practices, and have the potential to enhance care practices and reduce occurrence of diseases, indicating their effectiveness in simultaneously addressing multiple determinants of undernutrition. However, NSA interventions have a lesser impact on nutritional status. NSA interventions lead to nutrition outcomes through 5 key pathways: food production, nutrition-related knowledge, agricultural income, women’s empowerment, and strengthening of local institutions. We emphasize the need to carefully design, implement, and evaluate interventions with consideration for factors affecting impact pathways. Future research should focus on the effect of interventions combining multisector components, and pathways through non-food-production-related income, women’s empowerment, strengthening of local institutions, food prices at intervention level, and expenditure on health care.</summary>
    <dc:date>2021-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Prognostic Potential of the Preoperative Controlling Nutritional Status (CONUT) Score in Predicting Survival of Patients with Cancer: A Systematic Review</title>
    <link rel="alternate" href="http://localhost:8080/xmlui/handle/123456789/4825" />
    <author>
      <name>Kheirouri, Sorayya</name>
    </author>
    <author>
      <name>Alizadeh, Mohammad</name>
    </author>
    <id>http://localhost:8080/xmlui/handle/123456789/4825</id>
    <updated>2023-06-12T04:19:49Z</updated>
    <published>2021-01-01T00:00:00Z</published>
    <summary type="text">Title: Prognostic Potential of the Preoperative Controlling Nutritional Status (CONUT) Score in Predicting Survival of Patients with Cancer: A Systematic Review
Authors: Kheirouri, Sorayya; Alizadeh, Mohammad
Abstract: The nutritional status of a patient has prognostic potency concerning short- and long-term outcomes, including survival, in many diseases. The controlling nutritional status (CONUT) score is a method for assessing nutritional status and predicting outcomes of several diseases. This study sought to systematically identify the prognostic role of preoperative CONUT score on posttreatment overall survival (OS), recurrence-free survival&#xD;
(RFS), and cancer-specific survival (CSS) in patients with cancer. The PubMed, SCOPUS, and Google Scholar databases and Google were searched for all dates until December 2019. Original articles investigating the association of preoperative CONUT score with survival in cancer patients who underwent surgery were included. Duplicate and irrelevant reports were screened out and the remaining articles assessed for quality and data extracted during critical analysis. Results of multivariate analysis were used to evaluate the prognostic competence of CONUT score in predicting survival. The search method identified an initial 181 articles, of which 32 were included in the final analysis. Lower OS, CSS, and RFS rates were&#xD;
reported by 100%, 100%, and 87.0% of the included studies, respectively, in cancer patients with high CONUT scores. A prognostic role of the CONUT score for prediction of OS, CSS, and RFS in cancer patients was shown by 91.7%, 90.9%, and 52.6% of the studies, respectively. The receiver operating characteristic curve area under the curve (AUC) value of the CONUT score for predicting OS, CSS, and RFS was at an acceptable level (&gt;0.5) in all studies with available AUC values (n = 19). Sixty percent (12 of 20) of the studies reported that high CONUT score was significantly related to lower BMI. The findings promote confidence that a high preoperative CONUT score is associated with poor survival rate and is an independent prognostic&#xD;
factor of OS and CSS in patients with various types of cancer. Evaluation of the preoperative CONUT score might help clinicians in decision-making with respect to surgical implications</summary>
    <dc:date>2021-01-01T00:00:00Z</dc:date>
  </entry>
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